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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. 8-RES-JB
    11. 1287
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    Explanations

    words related to sprinkling or dispersing

    oai_token-act-pair · gpt-3.5-turbo

    actions related to adding, removing, or manipulating substances or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.74
    externalActionCode
    -0.73
    heid
    -0.70
     facult
    -0.66
    ALE
    -0.64
    yan
    -0.57
    Want
    -0.57
    displayText
    -0.57
     territ
    -0.56
    orship
    -0.56
    POSITIVE LOGITS
     overboard
    0.85
     icing
    0.85
     aside
    0.82
     powd
    0.80
     onto
    0.79
     grenades
    0.77
     electrodes
    0.77
     into
    0.73
     powdered
    0.72
    rily
    0.71
    Activations Density 0.186%

    No Known Activations