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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. 4060
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    Explanations

    entities related to law enforcement and legal matters

    oai_token-act-pair · gpt-3.5-turbo

    references to authority figures and institutions

    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
     Adin
    -0.62
    range
    -0.58
     guiName
    -0.55
    anchester
    -0.54
     Percent
    -0.54
    duration
    -0.54
    ahime
    -0.54
    bearing
    -0.53
     Fiorina
    -0.53
    izontal
    -0.52
    POSITIVE LOGITS
     intervened
    1.15
     reacted
    0.97
     interven
    0.92
     couldn
    0.89
     forbid
    0.89
     balk
    0.88
     knew
    0.87
     decides
    0.86
     recognizes
    0.86
     hadn
    0.85
    Activations Density 0.845%

    No Known Activations