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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. 0-RES-JB
    11. 6440
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    INDEX
    Explanations

    technical terms related to documents, such as "sheet" and "screen"

    oai_token-act-pair · gpt-3.5-turbo

    words related to educational contexts or formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clicker
    -0.63
    vis
    -0.60
     nond
    -0.58
    wra
    -0.57
     Cir
    -0.56
    ãĥĥãĥī
    -0.56
    Reviewer
    -0.55
     Mayo
    -0.54
     san
    -0.53
     citation
    -0.53
    POSITIVE LOGITS
    heet
    2.60
    ynthesis
    2.40
    creen
    2.35
    peed
    2.20
    cale
    2.18
    chool
    2.15
    ystem
    2.11
    hift
    2.04
    paces
    2.04
    ilver
    1.99
    Activations Density 0.050%

    No Known Activations