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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. 7-RES-JB
    11. 8960
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    Explanations

    names, locations, and titles containing the word "man"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "man"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Grounds
    -0.73
    RIPT
    -0.70
    PsyNetMessage
    -0.69
    rites
    -0.66
    URN
    -0.63
    âĨij
    -0.60
    LCS
    -0.59
    reek
    -0.58
    ģĸ
    -0.58
     Giuliani
    -0.58
    POSITIVE LOGITS
    ifest
    1.27
    hattan
    1.17
    uscript
    1.07
    fred
    1.05
    agements
    1.04
    hunt
    1.00
    hood
    0.96
    afort
    0.96
    oeuv
    0.95
    agers
    0.95
    Activations Density 0.049%

    No Known Activations