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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. 4375
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    Explanations

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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

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    Negative Logits
    matter
    -0.72
     bulbs
    -0.69
    cube
    -0.69
    osher
    -0.67
     parcels
    -0.66
     Commissioners
    -0.64
    chrom
    -0.63
     coordinates
    -0.63
     XT
    -0.62
    pora
    -0.62
    POSITIVE LOGITS
    smanship
    0.89
     feats
    0.82
    :{
    0.72
    manship
    0.70
    ahime
    0.70
     fixme
    0.68
    FontSize
    0.68
    æĪ¦
    0.67
    oeuv
    0.67
    OUND
    0.66
    Activations Density 0.089%

    No Known Activations