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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. 20262
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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 @ 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
    uden
    -0.86
    roma
    -0.84
    ertodd
    -0.83
    âĸĪâĸĪâĸĪâĸĪ
    -0.78
    vous
    -0.78
     âĶľ
    -0.76
    Ö¼
    -0.75
    oxide
    -0.73
    bats
    -0.73
    rette
    -0.73
    POSITIVE LOGITS
    ities
    1.06
    ized
    1.03
    ization
    0.98
     governments
    0.97
    ised
    0.93
     economies
    0.90
    izing
    0.88
     councils
    0.84
    izations
    0.83
    isation
    0.83
    Activations Density 0.043%

    No Known Activations