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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. 9-RES-JB
    11. 7077
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    Explanations

    negative outcomes or situations

    oai_token-act-pair · gpt-3.5-turbo

    comparative terms indicating worsening situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bern
    -0.84
    #$
    -0.66
    boro
    -0.66
    dinand
    -0.64
    riber
    -0.62
    meric
    -0.61
    ervative
    -0.60
    conservancy
    -0.58
    lication
    -0.57
    enced
    -0.57
    POSITIVE LOGITS
     yet
    0.96
     importantly
    0.82
     than
    0.82
     though
    0.76
    ally
    0.72
     insult
    0.72
    yet
    0.72
    istically
    0.65
     Than
    0.65
    aneously
    0.64
    Activations Density 0.113%

    No Known Activations