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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. 1-RES-JB
    11. 11315
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilater
    -0.83
    ergy
    -0.78
    aimon
    -0.72
    room
    -0.71
    sal
    -0.71
    zo
    -0.70
    esan
    -0.70
    PAC
    -0.70
     Chemistry
    -0.69
    hand
    -0.68
    POSITIVE LOGITS
     imposed
    1.36
     imposition
    1.12
     levied
    1.08
     exerted
    1.02
     impose
    1.00
     coerc
    1.00
     unnecess
    0.98
     eleph
    0.96
     sanction
    0.96
     sanctions
    0.93
    Activations Density 0.008%

    No Known Activations