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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. 2086
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    Explanations

    times of day mentioned in a specific format (with 'p.m.' or 'p.m' and a 10-point activation for 'p.m')

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'p' in time-related contexts

    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
    æ©Ł
    -0.78
     Halls
    -0.73
     CVE
    -0.68
     Aval
    -0.67
     Shining
    -0.66
     Salvation
    -0.64
    Frameworks
    -0.64
     Masters
    -0.64
    ãĥķãĤ¡
    -0.64
    DERR
    -0.63
    POSITIVE LOGITS
    orters
    1.14
    airs
    1.13
    ierce
    1.01
    orter
    1.00
    udd
    0.98
    aired
    0.98
    uffed
    0.97
    ucks
    0.95
    au
    0.94
    okes
    0.93
    Activations Density 0.019%

    No Known Activations