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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. 14754
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    cffff
    -0.81
     whistle
    -0.70
    ody
    -0.69
    ivari
    -0.68
    accompan
    -0.67
     endeav
    -0.66
    akuya
    -0.66
    bably
    -0.65
     stocking
    -0.64
    raid
    -0.64
    POSITIVE LOGITS
    ership
    1.12
     largeDownload
    1.11
    ById
    1.11
    points
    0.91
     View
    0.89
    opsis
    0.88
    Root
    0.86
    ories
    0.82
    ports
    0.82
    ers
    0.82
    Activations Density 0.016%

    No Known Activations