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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. 10153
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    Explanations

    data related to participants' offline activities and merits in a system

    oai_token-act-pair · gpt-3.5-turbo

    terms related to activity metrics and performance metrics

    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
    otin
    -0.71
    lite
    -0.63
    ounter
    -0.62
    igans
    -0.62
    fits
    -0.61
     Anthem
    -0.60
    kj
    -0.60
    nas
    -0.60
    mus
    -0.59
     abl
    -0.59
    POSITIVE LOGITS
    ?????-
    0.66
    ©¶æ¥µ
    0.64
    Description
    0.60
    Action
    0.59
    thinkable
    0.59
    Super
    0.57
    Dec
    0.57
    Reward
    0.57
    Movie
    0.57
     ACTIONS
    0.56
    Activations Density 0.081%

    No Known Activations