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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 6423
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    Explanations

    proper nouns related to famous personalities or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and locations

    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
    CLASSIFIED
    -0.74
    GROUND
    -0.73
    mail
    -0.71
    EED
    -0.71
    mails
    -0.70
    OTAL
    -0.68
    flight
    -0.66
    skirts
    -0.65
    FUL
    -0.65
    ected
    -0.65
    POSITIVE LOGITS
     Luk
    1.24
    uania
    0.85
    ijn
    0.84
    rils
    0.84
    owitz
    0.83
    lins
    0.83
    eness
    0.83
    inated
    0.81
    witz
    0.79
    lihood
    0.78
    Activations Density 0.009%

    No Known Activations