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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. 9-RES-JB
    11. 7165
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    Explanations

    adjectives describing the degree or intensity of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a" and variations of phrases indicating size or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     endeavors
    -0.70
    Events
    -0.68
    ources
    -0.65
     aloud
    -0.64
     Contents
    -0.64
     activities
    -0.63
    Vert
    -0.63
    Iss
    -0.62
     Lies
    -0.60
    yrinth
    -0.58
    POSITIVE LOGITS
    hold
    1.44
     foothold
    1.23
     glimpse
    1.20
     chance
    1.05
     taste
    0.99
     bead
    0.95
     hold
    0.93
     whiff
    0.92
     lot
    0.88
     haircut
    0.86
    Activations Density 0.097%

    No Known Activations