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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. 7-RES-JB
    11. 18028
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    Explanations

    references to a written document or screenplay

    oai_token-act-pair · gpt-3.5-turbo

    references to screenplays or scripts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.73
    ktop
    -0.69
    hm
    -0.68
    iscopal
    -0.67
     Geh
    -0.66
     Ath
    -0.65
    hp
    -0.61
     Charity
    -0.61
     Gallup
    -0.60
    dash
    -0.60
    POSITIVE LOGITS
    writers
    1.29
    writer
    1.25
    writing
    1.22
    ural
    1.05
     synopsis
    0.98
     screenplay
    0.94
    urally
    0.92
    smanship
    0.92
    wright
    0.91
    abal
    0.84
    Activations Density 0.017%

    No Known Activations