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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 872
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    Explanations

    words related to communication such as "caller" and "listener."

    oai_token-act-pair · gpt-3.5-turbo

    words related to someone receiving or engaging in communication, like "caller" or "listener"

    oai_token-act-pair · gpt-4-turbo

    references to individuals involved in a call or communication context, specifically callers and listeners

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pradesh
    -0.74
    rity
    -0.73
     Centers
    -0.70
     Catholicism
    -0.68
     Crimes
    -0.65
    ceed
    -0.65
    rams
    -0.64
     Formation
    -0.63
     Paint
    -0.62
     Bhar
    -0.60
    POSITIVE LOGITS
     beware
    1.05
    iquid
    0.85
     interviewer
    0.81
     Beware
    0.80
     misunderstood
    0.80
     extraord
    0.80
     listeners
    0.79
    esses
    0.78
    backer
    0.77
     reviewer
    0.76
    Activations Density 0.043%

    No Known Activations