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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

    instances of the word "arr" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "arr"

    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
    ĨĴ
    -0.73
     Pixie
    -0.71
    zsche
    -0.63
    lasses
    -0.62
     fare
    -0.62
    cart
    -0.60
     Flavoring
    -0.59
    olithic
    -0.59
    manship
    -0.59
     "{
    -0.58
    POSITIVE LOGITS
    agher
    1.01
    anged
    0.97
    agh
    0.95
    abba
    0.95
    ago
    0.95
    INGTON
    0.94
    uder
    0.93
    issa
    0.92
    illo
    0.91
    anging
    0.90
    Activations Density 0.032%

    No Known Activations