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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. 13439
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    INDEX
    Explanations

    mentions of the word "cola" or similar variants

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the term "ola"

    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
    frames
    -0.74
    liners
    -0.69
    picking
    -0.68
    sworth
    -0.67
    frame
    -0.64
     Clicker
    -0.63
    rish
    -0.62
    pick
    -0.62
    rings
    -0.61
    haw
    -0.61
    POSITIVE LOGITS
    uthor
    1.00
    BILITY
    0.98
    zzle
    0.94
    ola
    0.93
    iffe
    0.93
    oma
    0.92
    ño
    0.91
    onga
    0.89
    uga
    0.87
    opsis
    0.87
    Activations Density 0.009%

    No Known Activations