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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. 10-RES-JB
    11. 12521
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    Explanations

    requests or references for acquiring or obtaining something

    oai_token-act-pair · gpt-3.5-turbo

    references to obtaining or acquiring a single item

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grounds
    -0.73
    lations
    -0.67
    shed
    -0.66
    verbs
    -0.66
    iannopoulos
    -0.65
    osponsors
    -0.64
     Vaugh
    -0.63
    untu
    -0.62
     distances
    -0.61
    children
    -0.60
    POSITIVE LOGITS
     of
    1.10
     hundred
    1.04
     Hundred
    0.93
     thousand
    0.90
     thereof
    0.86
     particular
    0.82
     ounce
    0.81
     sided
    0.79
     million
    0.75
     Thousand
    0.74
    Activations Density 0.106%

    No Known Activations