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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. 1890
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    Explanations

    technological terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    repeated conjunctions and the use 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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    fit
    -0.82
    Ĭ±
    -0.73
    Gamer
    -0.72
    tick
    -0.71
    habi
    -0.71
    fn
    -0.70
    Ĥİ
    -0.69
    gamer
    -0.68
    Ñı
    -0.67
    taking
    -0.67
    POSITIVE LOGITS
     assorted
    1.22
     possibly
    0.94
     finally
    0.92
     optionally
    0.83
    cellaneous
    0.76
     perhaps
    0.75
     etc
    0.74
     yes
    0.72
     occasional
    0.72
     desserts
    0.70
    Activations Density 0.170%

    No Known Activations