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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. 17747
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    Explanations

    words related to grooming and personal care, specifically focusing on shaving and haircuts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to shaving and haircuts

    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
    encia
    -0.74
    velt
    -0.71
    ENCE
    -0.69
    obin
    -0.68
     Journalism
    -0.68
     Lies
    -0.67
    iosyncr
    -0.65
     Bunker
    -0.65
    oyle
    -0.64
    ourke
    -0.63
    POSITIVE LOGITS
    utic
    0.97
     shaved
    0.97
    lasses
    0.92
    dress
    0.90
     salon
    0.90
     scalp
    0.88
     shave
    0.88
     shaving
    0.84
     grooming
    0.83
    med
    0.79
    Activations Density 0.079%

    No Known Activations