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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. 9886
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    Explanations

    words related to actions and events

    oai_token-act-pair · gpt-3.5-turbo

    text marker symbols or formatting indicators

    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
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    No Comments

    Negative Logits
    accompan
    -0.65
     Jagu
    -0.64
     Niet
    -0.60
    emale
    -0.58
     Seym
    -0.58
     Byr
    -0.55
     Nare
    -0.55
     Peb
    -0.54
     Lauder
    -0.54
     Kik
    -0.54
    POSITIVE LOGITS
    mosp
    0.88
    posure
    0.71
    lement
    0.68
    irez
    0.66
    justice
    0.64
    tenance
    0.63
    hesda
    0.63
    ptoms
    0.63
    mouse
    0.62
    ip
    0.62
    Activations Density 0.131%

    No Known Activations