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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. 2-RES-JB
    11. 15964
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    Explanations

    proper nouns related to educational institutions or legal cases

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and entities, particularly associated with legal cases or identities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estones
    -0.89
    onym
    -0.80
    ¯¯¯¯¯¯¯¯
    -0.79
    quer
    -0.78
    ocene
    -0.77
    zos
    -0.77
    aton
    -0.74
    imb
    -0.74
    atography
    -0.73
    netic
    -0.73
    POSITIVE LOGITS
     Providence
    1.14
     sidx
    0.74
     confir
    0.73
     Ascend
    0.72
    krit
    0.72
     Prophe
    0.67
    SourceFile
    0.66
     Curse
    0.65
     whence
    0.64
     Lovecraft
    0.64
    Activations Density 0.022%

    No Known Activations