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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. 8-RES-JB
    11. 23742
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    Explanations

    numbers or units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    numeric values associated with measurements or concentrations in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulous
    -0.75
    imated
    -0.72
    furt
    -0.72
    hel
    -0.71
    aido
    -0.70
    riel
    -0.69
    netflix
    -0.65
    romeda
    -0.64
    atz
    -0.63
    efficients
    -0.63
    POSITIVE LOGITS
    755
    0.78
    76
    0.76
    68
    0.76
    60
    0.75
    644
    0.75
    78
    0.75
    75
    0.75
    62
    0.73
    71
    0.73
    98
    0.73
    Activations Density 0.126%

    No Known Activations