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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. 4-RES-JB
    11. 2224
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    Explanations

    phrases related to early stages or beginnings of various entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "early life” and related contexts

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

    No Comments

    Negative Logits
    acci
    -0.66
    CW
    -0.65
    rw
    -0.65
     SetTextColor
    -0.64
    rawdownloadcloneembedreportprint
    -0.64
    é»Ĵ
    -0.62
    ingen
    -0.62
    udeb
    -0.61
     Blades
    -0.61
    among
    -0.61
    POSITIVE LOGITS
    imester
    0.75
    endment
    0.70
     twenties
    0.68
    ODY
    0.67
    nings
    0.66
    obl
    0.61
     onward
    0.61
    enium
    0.61
    hurst
    0.61
    vals
    0.60
    Activations Density 0.092%

    No Known Activations