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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. 24122
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    Explanations

    phrases related to suggested actions or elements that may impact decisions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific issues or conditions related to law, governance, and public policy

    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
    ahime
    -0.82
    ilib
    -0.68
    anmar
    -0.68
    rench
    -0.66
    utenberg
    -0.66
    maxwell
    -0.63
    zar
    -0.62
    itone
    -0.61
    anchester
    -0.60
    ailand
    -0.59
    POSITIVE LOGITS
     whatsoever
    1.86
     imaginable
    1.25
    soever
    1.23
     conceivable
    0.97
     except
    0.95
     thereof
    0.84
     pertaining
    0.82
     hereafter
    0.78
    respect
    0.78
     relating
    0.76
    Activations Density 0.281%

    No Known Activations