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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. 13036
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    Explanations

    mentions of the term "Cheers!" along with various contexts around it

    oai_token-act-pair · gpt-3.5-turbo

    words ending in "er" or "ers"

    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
     lab
    -0.70
    mobi
    -0.65
     Lie
    -0.64
     od
    -0.63
     pounds
    -0.60
     decimal
    -0.58
     fabrication
    -0.57
    SO
    -0.57
     gu
    -0.56
     cou
    -0.56
    POSITIVE LOGITS
    yip
    0.94
    atz
    0.87
    ecake
    0.85
    aic
    0.81
    erville
    0.79
    externalActionCode
    0.78
    lems
    0.78
    leaders
    0.78
    appa
    0.77
    pread
    0.76
    Activations Density 0.032%

    No Known Activations