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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. 10-RES-JB
    11. 24329
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    INDEX
    Explanations

    numbers and figures

    oai_token-act-pair · gpt-3.5-turbo

    events that are surprising or unexpected

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     strives
    -0.79
    imar
    -0.78
    iterator
    -0.74
     endeavour
    -0.73
     ideally
    -0.71
     ILCS
    -0.71
     avoids
    -0.70
     relies
    -0.69
     focuses
    -0.68
     strive
    -0.67
    POSITIVE LOGITS
     unexpectedly
    1.16
     suddenly
    1.15
    uddenly
    1.12
    iphany
    1.10
     abruptly
    1.02
     unexpected
    1.00
     mysteriously
    0.99
     Suddenly
    0.99
    Suddenly
    0.96
     sudden
    0.91
    Activations Density 0.656%

    No Known Activations