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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. 3-RES-JB
    11. 9736
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     corrid
    -0.72
    ilings
    -0.71
     scattering
    -0.70
     hoard
    -0.69
     reeling
    -0.69
    TPPStreamerBot
    -0.68
    steen
    -0.68
     equivalents
    -0.68
     bilingual
    -0.68
    ĵĺ
    -0.66
    POSITIVE LOGITS
    true
    1.18
    false
    1.07
    null
    0.98
    "><
    0.90
    post
    0.86
    vim
    0.86
    danger
    0.85
    external
    0.83
    submit
    0.83
    none
    0.82
    Activations Density 0.013%

    No Known Activations