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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. 698
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    Explanations

    words ending in 'nd'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "and"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    rawdownloadcloneembedreportprint
    -0.73
    PRO
    -0.62
     Isles
    -0.61
    Sham
    -0.61
    DEM
    -0.60
    ppa
    -0.59
    BILITY
    -0.58
    veyard
    -0.58
    PLAY
    -0.58
    zai
    -0.57
    POSITIVE LOGITS
    ividual
    1.27
    isl
    0.99
    s
    0.97
    orf
    0.95
    uctor
    0.95
    icated
    0.91
    ependent
    0.91
    ocument
    0.89
    sworth
    0.87
    oard
    0.87
    Activations Density 0.022%

    No Known Activations