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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. 8-RES-JB
    11. 673
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    Explanations

    phrases related to specific achievements or performances

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and their performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dudes
    -0.57
     cowork
    -0.57
     commenters
    -0.55
     colleg
    -0.54
     litter
    -0.53
     incorpor
    -0.52
     Palestin
    -0.52
     tropes
    -0.51
     bunch
    -0.51
     regulars
    -0.51
    POSITIVE LOGITS
    omsday
    0.66
    ancial
    0.66
    verage
    0.65
    mediate
    0.65
    fty
    0.64
    ortality
    0.63
    pleting
    0.62
    vable
    0.61
    cost
    0.61
    hematically
    0.61
    Activations Density 1.425%

    No Known Activations