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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. 6-RES-JB
    11. 20302
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    Explanations

    names of photographers and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals along with accompanying photographs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĢIJ
    -0.70
     SHALL
    -0.66
    Footnote
    -0.66
    ailable
    -0.65
    ModLoader
    -0.64
    ãĢİ
    -0.63
    itaire
    -0.63
    EMOTE
    -0.62
    luaj
    -0.61
    å£
    -0.61
    POSITIVE LOGITS
     .)
    0.92
     Photography
    0.88
     *)
    0.83
    )/
    0.82
    ulton
    0.81
     IMAGES
    0.77
     (@
    0.73
    )
    0.73
    photos
    0.72
    )."
    0.72
    Activations Density 0.190%

    No Known Activations