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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. 15384
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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

    No Comments

    Negative Logits
     References
    -0.77
    Broad
    -0.70
    flag
    -0.69
     Interpret
    -0.68
    ENCE
    -0.65
    initions
    -0.65
    comments
    -0.64
    Liber
    -0.63
    Dub
    -0.63
     Panc
    -0.62
    POSITIVE LOGITS
     burdens
    0.90
     tedious
    0.88
     slog
    0.88
     ardu
    0.86
    staking
    0.84
     burd
    0.82
     endured
    0.81
     juggling
    0.79
     incurred
    0.79
    consuming
    0.79
    Activations Density 0.132%

    No Known Activations