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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. 12410
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    Explanations

    words related to articles or published content

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hair follicles

    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
    itches
    -0.91
    itude
    -0.83
    retched
    -0.82
    ublic
    -0.81
    itcher
    -0.77
    atcher
    -0.75
    awaru
    -0.74
    kins
    -0.73
    atched
    -0.73
    ained
    -0.70
    POSITIVE LOGITS
    icle
    1.09
    icles
    1.03
     Awakens
    0.79
    vous
    0.75
     ejac
    0.70
     vomit
    0.69
    oidal
    0.69
    cised
    0.67
    iveness
    0.67
    moon
    0.66
    Activations Density 0.016%

    No Known Activations