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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 2815
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    Explanations

    words related to personal hygiene, specifically showering

    oai_token-act-pair · gpt-3.5-turbo

    references to showers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughs
    -0.77
    eff
    -0.68
    rian
    -0.67
    sup
    -0.65
    meal
    -0.64
    pg
    -0.63
    */(
    -0.63
    ravel
    -0.63
    vg
    -0.62
    epad
    -0.62
    POSITIVE LOGITS
     showers
    1.27
     shower
    1.10
    ysis
    0.83
     curtain
    0.79
     ashore
    0.76
    robe
    0.71
    ennes
    0.69
    wake
    0.69
     toile
    0.68
     curtains
    0.68
    Activations Density 0.004%

    No Known Activations