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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. 7-RES-JB
    11. 9452
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hement
    -0.78
    irtual
    -0.77
    duc
    -0.71
    uler
    -0.69
    cember
    -0.68
    raq
    -0.67
    cation
    -0.66
    ember
    -0.64
    pmwiki
    -0.64
    ################################
    -0.63
    POSITIVE LOGITS
    ioned
    0.84
    sticks
    0.77
    ees
    0.76
    maker
    0.75
    xual
    0.75
    makers
    0.71
     match
    0.70
     matches
    0.69
     CLSID
    0.68
    paren
    0.68
    Activations Density 0.027%

    No Known Activations