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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. 4-RES-JB
    6. 6990
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILLE
    -0.73
    bernatorial
    -0.72
    ãĥ£
    -0.69
    DragonMagazine
    -0.68
    aukee
    -0.68
    `
    -0.67
    andowski
    -0.66
    STAR
    -0.66
    ument
    -0.66
     Scand
    -0.63
    POSITIVE LOGITS
    pins
    1.09
    cutting
    1.02
    lining
    1.02
    lying
    0.96
    writing
    0.95
    neath
    0.93
    dogs
    0.93
    writers
    0.92
    graduate
    0.92
    lined
    0.91
    Activations Density 0.047%

    No Known Activations