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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. 4-RES-JB
    11. 8516
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    Explanations

    references to document formatting or arrangements

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    roma
    -0.91
    doms
    -0.91
    ortium
    -0.69
    adows
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     suspic
    -0.67
    undai
    -0.67
    minent
    -0.67
    agi
    -0.67
    atana
    -0.67
    hiro
    -0.66
    POSITIVE LOGITS
     format
    0.99
    ters
    0.96
     Format
    0.85
     formats
    0.84
    atted
    0.81
     formatted
    0.75
    format
    0.72
    furt
    0.72
    tered
    0.70
    ftime
    0.69
    Activations Density 0.015%

    No Known Activations