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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. 6-RES-JB
    11. 5470
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    INDEX
    Explanations

    mentions of a specific number

    oai_token-act-pair · gpt-3.5-turbo

    numerical references or identifiers related to data or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shape
    -0.67
    ardless
    -0.66
    ifully
    -0.66
    fare
    -0.64
    liga
    -0.64
    iful
    -0.62
    orem
    -0.62
    velt
    -0.61
    fall
    -0.61
    urus
    -0.59
    POSITIVE LOGITS
    00
    0.93
     Sins
    0.75
    th
    0.71
    mm
    0.70
    rd
    0.70
    olog
    0.69
    acht
    0.69
    oche
    0.68
    åĤ
    0.68
     Thieves
    0.67
    Activations Density 0.033%

    No Known Activations