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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. 9169
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    Explanations

    statements or quotes within text

    oai_token-act-pair · gpt-3.5-turbo

    statements or expressions of confidence and approval

    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
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    No Comments

    Negative Logits
     lifes
    -0.80
     secret
    -0.79
     Aval
    -0.76
     invisible
    -0.76
     allied
    -0.74
     commissions
    -0.72
     occult
    -0.66
     offshore
    -0.65
     princ
    -0.65
     discern
    -0.65
    POSITIVE LOGITS
    "[
    1.69
    "(
    1.62
    Asked
    1.51
    "
    1.49
    He
    1.49
    Speaking
    1.46
    Writing
    1.41
    Instead
    1.36
    ``
    1.34
    Advertisement
    1.32
    Activations Density 0.348%

    No Known Activations