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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. 3-RES-JB
    11. 7281
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    INDEX
    Explanations

    financial company names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals or brands

    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
    erala
    -0.81
    alg
    -0.80
     paran
    -0.74
    amia
    -0.72
    umar
    -0.70
    aran
    -0.69
    meric
    -0.69
    eneg
    -0.67
    iked
    -0.67
    renheit
    -0.67
    POSITIVE LOGITS
     Staples
    0.96
     Dillon
    0.78
     Eaton
    0.77
    assies
    0.71
     Wright
    0.71
    ciating
    0.71
     Thomson
    0.71
     Booth
    0.69
    bourg
    0.68
    Edge
    0.67
    Activations Density 0.013%

    No Known Activations