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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. 8-RES-JB
    11. 10873
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    Explanations

    phrases indicating a reason or justification for a decision

    oai_token-act-pair · gpt-3.5-turbo

    phrases and clauses indicating rationale or justification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vez
    -0.86
    Laughs
    -0.69
    wn
    -0.68
    laughs
    -0.64
    rolet
    -0.63
    aturday
    -0.63
    onica
    -0.63
    aukee
    -0.62
    Poké
    -0.62
    ggles
    -0.62
    POSITIVE LOGITS
     they
    1.19
     it
    0.91
     THEY
    0.90
    they
    0.90
     outweigh
    0.73
     theirs
    0.72
     there
    0.72
     their
    0.71
     otherwise
    0.68
     outwe
    0.67
    Activations Density 0.383%

    No Known Activations