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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. 1-RES-JB
    11. 16200
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    Explanations

    dates in the format of month/day/year

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the token "09"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.77
     stocking
    -0.73
     nomine
    -0.71
     Kul
    -0.71
    rified
    -0.69
    everal
    -0.69
     yeast
    -0.68
     Leban
    -0.67
     eleph
    -0.67
     consolation
    -0.67
    POSITIVE LOGITS
    09
    1.47
    08
    1.41
    07
    1.38
    06
    1.38
    05
    1.32
    03
    1.31
    04
    1.30
    01
    1.16
    00
    1.16
    02
    1.16
    Activations Density 0.010%

    No Known Activations