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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. 6-RES-JB
    11. 9704
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    INDEX
    Explanations

    phrases indicating approximate times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    times and specific times of events

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.73
    qua
    -0.70
    ysis
    -0.64
    Reviewer
    -0.63
    eming
    -0.61
    inen
    -0.59
     Slayer
    -0.58
    ple
    -0.58
     gard
    -0.58
    elman
    -0.57
    POSITIVE LOGITS
    clock
    0.83
    abouts
    0.76
     midday
    0.75
     corners
    0.73
     1900
    0.71
    capacity
    0.69
    =~=~
    0.68
    atform
    0.68
     dozen
    0.67
     150
    0.67
    Activations Density 0.041%

    No Known Activations