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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
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    Explanations

    references to recipients, recipients' actions, or conditions related to recipients

    oai_token-act-pair · gpt-3.5-turbo

    mentions of recipients in a context related to payment or benefits

    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
    ERO
    -0.73
    Ku
    -0.68
     Ferguson
    -0.67
    Gall
    -0.67
    Enough
    -0.66
    alter
    -0.65
     Sheet
    -0.65
    zan
    -0.64
    Ge
    -0.64
    irgin
    -0.64
    POSITIVE LOGITS
     recipients
    1.28
     recipient
    1.22
    ients
    0.88
    mable
    0.87
     beneficiaries
    0.83
    ipient
    0.82
    terson
    0.79
     rece
    0.79
    hip
    0.76
     receiving
    0.75
    Activations Density 0.011%

    No Known Activations