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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. 3910
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    Explanations

    words related to specific measurement values

    oai_token-act-pair · gpt-3.5-turbo

    references to quantitative measurements of various biological or environmental levels

    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
    rontal
    -0.75
    nell
    -0.63
    rod
    -0.62
    Redditor
    -0.61
    Untitled
    -0.61
    İ
    -0.61
    apixel
    -0.60
    Thumbnail
    -0.59
    Row
    -0.59
    skill
    -0.58
    POSITIVE LOGITS
     detectable
    0.84
     concentrations
    0.78
    ilibrium
    0.76
     levels
    0.76
    ynthesis
    0.76
    ynt
    0.75
     Detected
    0.75
    etting
    0.73
    baugh
    0.71
     readings
    0.70
    Activations Density 0.058%

    No Known Activations