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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. 12708
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    Explanations

    phrases related to hacking and technological exploits

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hacking activities or incidents

    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
     Archdemon
    -0.69
     Decay
    -0.68
    pha
    -0.67
    xus
    -0.64
     occas
    -0.64
    accompan
    -0.64
     Starr
    -0.63
    anamo
    -0.63
     Presence
    -0.63
     Veter
    -0.63
    POSITIVE LOGITS
    intosh
    1.31
    athon
    1.17
    nik
    0.96
     hack
    0.90
    aday
    0.87
    hered
    0.86
    tie
    0.85
    enberg
    0.85
    driver
    0.83
    hack
    0.81
    Activations Density 0.008%

    No Known Activations