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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. 3-RES-JB
    11. 2764
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    Explanations

    phrases related to clothing items, specifically bras

    oai_token-act-pair · gpt-3.5-turbo

    references to bras and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Procedure
    -0.70
     Chronicle
    -0.70
     PowerPoint
    -0.68
     Trafford
    -0.67
     Democr
    -0.66
    administ
    -0.65
    eers
    -0.64
     Milton
    -0.63
     Entertainment
    -0.63
    matic
    -0.63
    POSITIVE LOGITS
    ille
    1.04
    ided
    1.03
     bras
    0.97
     strap
    0.95
    loads
    0.91
     straps
    0.89
    iding
    0.89
    cies
    0.85
     bra
    0.84
    bott
    0.81
    Activations Density 0.007%

    No Known Activations