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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. 4-RES-JB
    11. 24346
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    Explanations

    phrases related to clothing items

    oai_token-act-pair · gpt-3.5-turbo

    references to swimwear and related apparel

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

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.84
    orate
    -0.72
     Centauri
    -0.68
    DCS
    -0.68
     eminent
    -0.66
    LY
    -0.63
    ŃĶ
    -0.63
    uncture
    -0.61
    illery
    -0.61
    edly
    -0.60
    POSITIVE LOGITS
    hirt
    1.52
    hops
    1.20
     sweats
    1.06
    hop
    1.00
    suit
    0.98
    shirt
    0.93
    shirts
    0.92
    pants
    0.89
    bean
    0.85
    suits
    0.80
    Activations Density 0.008%

    No Known Activations