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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. 3-RES-JB
    11. 2794
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    Explanations

    phrases related to significant events in various histories

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or milestones in history

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ractive
    -0.78
    inki
    -0.74
    tan
    -0.73
    pload
    -0.73
    ressed
    -0.72
    ymph
    -0.71
    yss
    -0.71
    ym
    -0.71
    agraph
    -0.70
    uffy
    -0.70
    POSITIVE LOGITS
    ISTORY
    0.92
     history
    0.91
     History
    0.84
    ĸļ
    0.79
     Corpus
    0.75
     Timeline
    0.73
     record
    0.73
     KH
    0.72
     Digest
    0.70
    cles
    0.70
    Activations Density 0.022%

    No Known Activations