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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. 15861
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    Explanations

    dates in the format "18__" where the blanks represent numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with specific data points

    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
    iguous
    -0.81
    iques
    -0.80
    osal
    -0.75
    ically
    -0.75
    icism
    -0.74
    ical
    -0.74
    berman
    -0.73
    icked
    -0.73
    orter
    -0.71
    etitive
    -0.70
    POSITIVE LOGITS
    650
    1.00
    91
    0.81
    92
    0.80
    85
    0.77
    78
    0.77
    94
    0.76
    58
    0.76
    87
    0.75
    71
    0.75
    6666
    0.73
    Activations Density 0.022%

    No Known Activations