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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. 2677
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    Explanations

    times expressed in hours and minutes

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to measurements, times, and dates

    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
     Unch
    -0.70
     apart
    -0.59
    atem
    -0.59
     besides
    -0.58
     acronym
    -0.56
     contrasted
    -0.56
     acron
    -0.56
     EDITION
    -0.56
     Cosponsors
    -0.55
     Pilot
    -0.53
    POSITIVE LOGITS
    999
    0.87
    onica
    0.76
    âĸĪâĸĪ
    0.75
    isan
    0.74
    icent
    0.73
    ulia
    0.71
    9999
    0.69
    angered
    0.68
    kHz
    0.67
    iann
    0.66
    Activations Density 0.122%

    No Known Activations