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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. 11-RES-JB
    11. 1548
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    INDEX
    Explanations

    numeric values followed by 'x' indicating dimensions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "x" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kson
    -0.79
     abiding
    -0.70
    rent
    -0.64
     coun
    -0.63
     âĢķ
    -0.63
    ogical
    -0.61
    auna
    -0.59
     TODAY
    -0.59
     Aval
    -0.58
     Verge
    -0.57
    POSITIVE LOGITS
     magnification
    0.98
    LP
    0.95
    10
    0.93
    5
    0.90
    6
    0.90
    4
    0.89
    20
    0.87
    100
    0.87
    10000
    0.87
    1200
    0.87
    Activations Density 0.021%

    No Known Activations