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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. 22589
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    Explanations

    measurements of speed or processing power

    oai_token-act-pair · gpt-3.5-turbo

    references to measures of time and speed

    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
    Not in Any Lists

    No Comments

    Negative Logits
    roots
    -0.87
    IRC
    -0.64
    agles
    -0.63
    restling
    -0.62
    stra
    -0.62
    Steel
    -0.62
    anyahu
    -0.62
     Springer
    -0.61
    gemony
    -0.61
    XY
    -0.60
    POSITIVE LOGITS
     baseman
    0.99
    aneously
    0.79
     glance
    0.76
    assian
    0.75
     ..........
    0.72
    endment
    0.71
    cffffcc
    0.70
    arily
    0.69
     harmonic
    0.69
     Dragonbound
    0.68
    Activations Density 0.025%

    No Known Activations