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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. 0-RES-JB
    11. 635
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    Explanations

    words related to receiving benefits or advantages

    oai_token-act-pair · gpt-3.5-turbo

    words related to benefit and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    search
    -0.77
    limit
    -0.69
     ratio
    -0.69
    ockets
    -0.69
    avage
    -0.68
     Pound
    -0.67
     Rack
    -0.66
     Dot
    -0.65
     recall
    -0.63
     Frenzy
    -0.62
    POSITIVE LOGITS
     benef
    3.57
     benefiting
    2.23
     benefited
    2.19
     Benef
    1.79
    benef
    1.62
     beneficiary
    1.31
    llor
    1.26
     reap
    1.10
     beneficiaries
    1.10
    Benef
    1.05
    Activations Density 0.037%

    No Known Activations