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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. 1-RES-JB
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    Explanations

    specific mentions of the word "Scoop"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Scoop" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wine
    -0.88
    inances
    -0.86
    imately
    -0.83
    rained
    -0.80
    ilater
    -0.80
    ministic
    -0.79
    ional
    -0.77
    igating
    -0.77
    ierrez
    -0.76
    antly
    -0.72
    POSITIVE LOGITS
    oby
    1.11
     Sco
    0.95
    hett
    0.81
    ppo
    0.79
    ffield
    0.77
    opy
    0.72
    pling
    0.72
    oping
    0.70
    oke
    0.69
    ISS
    0.68
    Activations Density 0.016%

    No Known Activations