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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. 9-RES-JB
    11. 7033
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.79
    ãĥ«
    -0.71
    ¬¼
    -0.71
    bern
    -0.68
    cffff
    -0.67
     carbohyd
    -0.66
     metic
    -0.66
     incorpor
    -0.65
     streng
    -0.65
     livest
    -0.65
    POSITIVE LOGITS
    <|endoftext|>
    0.88
    ↵
    0.88
     âĨij
    0.88
     TBA
    0.86
     +
    0.85
     Same
    0.85
    ↵↵
    0.84
     Avg
    0.83
     Overall
    0.81
     Submit
    0.81
    Activations Density 0.149%

    No Known Activations