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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. 10-RES-JB
    11. 7153
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    paren
    -0.71
     intervening
    -0.67
    polit
    -0.67
     abras
    -0.66
     wastes
    -0.64
     Principles
    -0.64
     reforming
    -0.62
    ean
    -0.62
     favors
    -0.60
    UTERS
    -0.58
    POSITIVE LOGITS
    ourt
    1.01
    perty
    0.84
     download
    0.80
     accessing
    0.79
     upgr
    0.76
    igible
    0.76
    Access
    0.74
     downloading
    0.74
    ettings
    0.72
    ossibility
    0.72
    Activations Density 0.251%

    No Known Activations