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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. 9196
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to official reports or legal filings

    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
     Econom
    -0.67
     Promotion
    -0.66
    iste
    -0.64
    opus
    -0.63
     Educational
    -0.63
    ublic
    -0.60
     Hosp
    -0.58
    live
    -0.58
     Recreation
    -0.57
     Teaching
    -0.57
    POSITIVE LOGITS
     FIR
    1.05
    sonian
    0.90
    renheit
    0.84
    stal
    0.83
    FIR
    0.81
    cipled
    0.81
    terness
    0.80
    ilipp
    0.80
    owship
    0.78
    teenth
    0.76
    Activations Density 0.015%

    No Known Activations