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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. 12535
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    Explanations

    phrases related to disagreements or debates

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or situations involving exceptions or unique circumstances

    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
    Not in Any Lists

    No Comments

    Negative Logits
    bowl
    -0.74
    è¦ļéĨĴ
    -0.73
    ilst
    -0.72
    atos
    -0.70
    ribed
    -0.69
     [|
    -0.66
    psc
    -0.65
     Whilst
    -0.64
    panic
    -0.64
    aucas
    -0.64
    POSITIVE LOGITS
     nonetheless
    1.31
    etheless
    1.21
     nevertheless
    0.98
     also
    0.90
     quieter
    0.90
     broader
    0.88
     deeper
    0.86
     another
    0.83
     bigger
    0.82
     ALSO
    0.79
    Activations Density 0.535%

    No Known Activations