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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. 9-RES-JB
    11. 2595
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    Explanations

    mentions of clothing items, particularly coats

    oai_token-act-pair · gpt-3.5-turbo

    references to coats, indicating a focus on clothing or outerwear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iated
    -0.68
    iates
    -0.68
    lus
    -0.65
    ded
    -0.65
    iating
    -0.63
    quist
    -0.63
    sc
    -0.63
    log
    -0.62
    LOAD
    -0.62
    ested
    -0.61
    POSITIVE LOGITS
     tails
    0.86
    manship
    0.76
     Coat
    0.75
     coat
    0.75
    pins
    0.74
    ings
    0.74
     coats
    0.72
    folios
    0.71
    orship
    0.70
    grain
    0.70
    Activations Density 0.072%

    No Known Activations