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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. 6-RES-JB
    11. 24556
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    Explanations

    scientific and technical terms related to fields such as biology, geography, and economics

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific and geographic elements, particularly relating to populations and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GoPro
    -0.63
     sexist
    -0.58
     bacon
    -0.54
     NBA
    -0.54
    NBA
    -0.54
     GamerGate
    -0.54
     Kardashian
    -0.54
     bikini
    -0.54
     Damn
    -0.53
     Leia
    -0.52
    POSITIVE LOGITS
     consists
    0.72
     comprises
    0.68
    afety
    0.64
     grouped
    0.63
     differs
    0.61
     consist
    0.60
    details
    0.59
    station
    0.59
     composition
    0.58
    æĸ¹
    0.57
    Activations Density 0.811%

    No Known Activations