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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. 3-RES-JB
    11. 15966
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    Explanations

    words related to supporting, defending, or enforcing a rule or decision

    oai_token-act-pair · gpt-3.5-turbo

    references to legal principles and the act of maintaining or enforcing laws

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    goo
    -0.75
    ohydrate
    -0.74
    pox
    -0.74
    NetMessage
    -0.69
    apter
    -0.69
    kers
    -0.67
    ogue
    -0.66
    ones
    -0.64
    feet
    -0.63
    king
    -0.60
    POSITIVE LOGITS
     upholding
    0.99
     upheld
    0.90
     uphold
    0.80
    enance
    0.74
    cies
    0.73
    folios
    0.72
    orius
    0.72
     Reincarn
    0.71
    raints
    0.70
    ably
    0.69
    Activations Density 0.012%

    No Known Activations