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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. 8-RES-JB
    11. 8310
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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
    #$#$
    -0.88
    cipline
    -0.74
    Ô
    -0.73
    staking
    -0.73
    atories
    -0.73
    ulty
    -0.71
    tenance
    -0.70
    :{
    -0.70
    taining
    -0.69
    iferation
    -0.66
    POSITIVE LOGITS
    3000
    1.00
    750
    1.00
    4000
    0.98
    700
    0.97
    DX
    0.96
    2500
    0.95
    2020
    0.95
    8000
    0.94
    800
    0.94
    MX
    0.93
    Activations Density 0.196%

    No Known Activations