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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. 3-RES-JB
    11. 14767
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    Explanations

    references to software developers or related activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "developer" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zzi
    -0.79
    Ń·
    -0.76
    Ĥİ
    -0.76
    lv
    -0.73
    ysical
    -0.70
    lla
    -0.68
    olit
    -0.68
    gio
    -0.67
    ijn
    -0.66
    thur
    -0.65
    POSITIVE LOGITS
    urally
    0.92
    ourage
    0.74
    paces
    0.73
     developer
    0.73
    lisher
    0.71
    itatively
    0.70
    yout
    0.69
    ency
    0.69
    ESCO
    0.69
     Developers
    0.68
    Activations Density 0.019%

    No Known Activations