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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. 24375
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    INDEX
    Explanations

    mentions of fans or fan-related content

    oai_token-act-pair · gpt-3.5-turbo

    references to fandoms and fan culture

    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
     bitters
    -0.71
     Labrador
    -0.70
    Sax
    -0.70
    upon
    -0.68
    BuyableInstoreAndOnline
    -0.68
     muddy
    -0.66
    lain
    -0.66
    âĹ¼
    -0.65
    使
    -0.64
    oslov
    -0.64
    POSITIVE LOGITS
    igans
    1.05
     Fan
    0.99
    coni
    0.94
    club
    0.93
    Fan
    0.88
    fare
    0.88
    ghai
    0.87
    fiction
    0.86
    boys
    0.84
    atic
    0.83
    Activations Density 0.010%

    No Known Activations