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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. 9-RES-JB
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    Explanations

    mentions of the word "Bow"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Bow" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.70
    ocre
    -0.68
     Lauder
    -0.66
    arios
    -0.66
    Downloadha
    -0.65
    uthor
    -0.63
    omething
    -0.62
    igne
    -0.61
    ĨĴ
    -0.59
    andum
    -0.58
    POSITIVE LOGITS
    tie
    1.14
    ler
    1.03
    els
    1.00
    string
    0.97
    den
    0.94
     arrow
    0.92
    legged
    0.92
    lers
    0.91
    yer
    0.91
    head
    0.88
    Activations Density 0.052%

    No Known Activations