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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15118
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    Explanations

    names and locations related to a certain figure, possibly within a specific time frame

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ru"

    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
    owler
    -0.73
     Wanted
    -0.59
    note
    -0.59
    notes
    -0.59
    intosh
    -0.58
    wear
    -0.57
     bounty
    -0.57
    raints
    -0.57
     Rivals
    -0.56
    eering
    -0.56
    POSITIVE LOGITS
    pees
    1.23
    cks
    1.20
    cker
    1.18
    nd
    1.15
    ggle
    1.14
    cci
    1.11
    pee
    1.11
    gger
    1.08
    kt
    1.05
    ggles
    1.03
    Activations Density 0.018%

    No Known Activations