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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. 0-RES-JB
    11. 20051
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    words related to a specific individual and various issues of sustainability and wind effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dos
    -0.93
     Morrison
    -0.85
     dos
    -0.83
     Muhammad
    -0.70
     Nas
    -0.69
     nightclub
    -0.68
     Vive
    -0.67
     Dew
    -0.67
     Elvis
    -0.63
     Lear
    -0.63
    POSITIVE LOGITS
     unp
    2.53
    lly
    2.38
     emb
    1.27
    wind
    1.11
    ledged
    0.80
    ront
    0.77
     packing
    0.75
    emb
    0.74
     untreated
    0.73
     disav
    0.72
    Activations Density 0.015%

    No Known Activations