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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. 2-RES-JB
    11. 3995
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    Explanations

    numbers, specifically the value 14

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numbers, particularly those representing dates or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atem
    -0.84
    oyd
    -0.78
    ensibly
    -0.76
    ãĤ¡
    -0.74
    omial
    -0.73
    abwe
    -0.69
    inators
    -0.64
     moder
    -0.63
    ogue
    -0.63
    igating
    -0.63
    POSITIVE LOGITS
    teenth
    1.01
    08
    0.92
    84
    0.92
    78
    0.92
    92
    0.91
    79
    0.91
    04
    0.90
    83
    0.89
    07
    0.88
    159
    0.87
    Activations Density 0.025%

    No Known Activations