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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
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    Explanations

    mentions of the word "juror."

    oai_token-act-pair · gpt-3.5-turbo

    references to jurors and jury-related terms

    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
     Rail
    -0.71
     Squirrel
    -0.68
     Dangerous
    -0.66
     Stafford
    -0.63
     Dalton
    -0.60
     Pixie
    -0.59
    lihood
    -0.59
     Township
    -0.59
    address
    -0.59
    Charge
    -0.59
    POSITIVE LOGITS
     Jur
    1.14
    iscons
    1.12
    isd
    1.07
    izons
    1.07
     jur
    1.06
    assic
    1.03
    sts
    0.84
    istas
    0.83
    idis
    0.79
    ÃŃ
    0.79
    Activations Density 0.009%

    No Known Activations