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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    phrases related to the name "Hawkes"

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of mentions of the name "Hawkes" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utra
    -0.75
    IZE
    -0.73
     normalized
    -0.69
    ritic
    -0.69
    esta
    -0.67
     Romania
    -0.64
    CLE
    -0.64
    thumbnails
    -0.63
     Poland
    -0.63
     domin
    -0.63
    POSITIVE LOGITS
     Haw
    4.04
    Haw
    2.65
    haw
    1.62
     Hawkins
    1.38
     Hawk
    1.36
     Daw
    1.27
     Hawks
    1.24
     haw
    1.20
     Faw
    1.15
     Hels
    1.15
    Activations Density 0.018%

    No Known Activations