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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. 9-RES-JB
    11. 14354
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    Explanations

    specific time and schedule information

    oai_token-act-pair · gpt-3.5-turbo

    specific time and date details, including durations and timeframes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ALP
    -0.67
     Unch
    -0.64
     confir
    -0.63
     Cosponsors
    -0.61
     Craw
    -0.60
    ccording
    -0.59
     SUM
    -0.57
     coord
    -0.57
     Angle
    -0.57
     skelet
    -0.56
    POSITIVE LOGITS
    999
    0.73
    fff
    0.72
    isan
    0.70
    clusive
    0.70
    fm
    0.68
    onica
    0.68
    piration
    0.67
    igil
    0.66
    iann
    0.65
    arg
    0.63
    Activations Density 0.180%

    No Known Activations