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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. 5150
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    Explanations

    references to different file or document formats

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of digital formats

    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
    roma
    -0.92
    doms
    -0.80
    worth
    -0.73
    adows
    -0.71
    ortium
    -0.69
    jin
    -0.68
    atana
    -0.68
    agi
    -0.68
    hiro
    -0.67
    aryn
    -0.67
    POSITIVE LOGITS
     format
    1.09
     Format
    0.96
     formats
    0.91
    ters
    0.91
    format
    0.83
    atted
    0.81
     formatted
    0.79
    Format
    0.77
    ftime
    0.76
    furt
    0.74
    Activations Density 0.011%

    No Known Activations