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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. 13440
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    INDEX
    Explanations

    mentions of locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of California, specifically the abbreviation "CA"

    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
    schild
    -0.92
    hower
    -0.87
    kaya
    -0.86
    theless
    -0.82
    matically
    -0.80
    loaded
    -0.77
     Lithuan
    -0.77
    tick
    -0.76
    selves
    -0.76
    lift
    -0.75
    POSITIVE LOGITS
    USE
    1.02
    UTION
    1.00
    IRO
    0.95
    CA
    0.89
    FF
    0.89
    ULT
    0.88
    UC
    0.88
    KE
    0.86
    FE
    0.86
    esar
    0.85
    Activations Density 0.009%

    No Known Activations