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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 20881
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paces
    -0.90
    cale
    -0.89
    creen
    -0.86
    pace
    -0.82
    aurus
    -0.80
    hiba
    -0.79
    qus
    -0.75
     payable
    -0.73
    ynthesis
    -0.71
    ynski
    -0.70
    POSITIVE LOGITS
    icidal
    0.96
    oid
    0.89
    less
    0.86
    ized
    0.84
    izations
    0.82
    ious
    0.82
    ization
    0.81
    ry
    0.80
    icity
    0.80
    iously
    0.76
    Activations Density 0.216%

    No Known Activations