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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. 6009
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    Explanations

    actions related to violent or criminal behavior

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with actions performed by individuals

    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
     incumb
    -0.73
     Transcript
    -0.68
     mathemat
    -0.67
     distributions
    -0.66
     dividends
    -0.65
    pmwiki
    -0.65
     mechanisms
    -0.64
    productive
    -0.64
    STEM
    -0.63
     economies
    -0.63
    POSITIVE LOGITS
     whom
    0.88
    ij士
    0.81
    who
    0.74
    icter
    0.70
    Īè
    0.70
    whose
    0.69
     Sue
    0.68
     Masquerade
    0.67
    artney
    0.67
     himself
    0.66
    Activations Density 1.260%

    No Known Activations