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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. 4-RES-JB
    11. 9334
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    Explanations

    numerical patterns or sequences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "28."

    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
    amaru
    -0.83
    ĸļ
    -0.80
    achu
    -0.78
    algia
    -0.75
    allo
    -0.75
    ensibly
    -0.73
    ostics
    -0.73
    olate
    -0.72
    rophe
    -0.71
    ype
    -0.71
    POSITIVE LOGITS
    00
    1.08
    nm
    0.95
    80
    0.84
    th
    0.83
    mins
    0.83
    nd
    0.80
    iology
    0.77
    GES
    0.74
    MHz
    0.73
    70
    0.72
    Activations Density 0.029%

    No Known Activations