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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. 17277
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    Explanations

    timestamps

    oai_token-act-pair · gpt-3.5-turbo

    instances and references to the concept of time

    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
    reditary
    -0.79
    ramid
    -0.70
    Bey
    -0.70
    geries
    -0.65
    kef
    -0.65
    doms
    -0.65
    LCS
    -0.64
    iants
    -0.63
    RD
    -0.63
     subsistence
    -0.63
    POSITIVE LOGITS
    zone
    0.87
    frames
    0.86
     elapsed
    0.75
     interval
    0.72
     pause
    0.72
     ][
    0.71
     msec
    0.69
     lapse
    0.68
    frame
    0.66
     capsule
    0.65
    Activations Density 0.019%

    No Known Activations