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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. 7-RES-JB
    11. 4012
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    action-related verbs that indicate functionality or service delivery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    thing
    -0.71
    wives
    -0.66
    thin
    -0.65
    rone
    -0.64
    shore
    -0.63
    volent
    -0.63
    itri
    -0.62
    nex
    -0.62
    ng
    -0.61
    zo
    -0.60
    POSITIVE LOGITS
    ometimes
    0.97
    ashtra
    0.75
    hift
    0.74
    avorite
    0.73
    arnaev
    0.73
    autions
    0.72
    undown
    0.72
     tremend
    0.71
    ettings
    0.69
    hement
    0.69
    Activations Density 0.424%

    No Known Activations