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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. 5936
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    Explanations

    names followed by a title of respect (Mr. or Ms.)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals, specifically those with the title "Mr."

    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
     captcha
    -0.60
     wheelchair
    -0.58
     actionGroup
    -0.56
     appre
    -0.55
     concentrated
    -0.54
    catentry
    -0.54
     numbered
    -0.53
     complementary
    -0.53
     darts
    -0.53
     contacting
    -0.52
    POSITIVE LOGITS
    .,
    0.91
    .
    0.91
    ./
    0.84
    .:
    0.79
    ._
    0.77
    orporated
    0.75
    .;
    0.75
    .-
    0.74
    .—
    0.74
     Justice
    0.72
    Activations Density 0.044%

    No Known Activations