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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. 4-RES-JB
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    Explanations

    names, particularly the name "Casey", in the text

    oai_token-act-pair · gpt-3.5-turbo

    the name "Casey" in various contexts

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

    No Comments

    Negative Logits
    lasses
    -0.83
    roup
    -0.80
    emouth
    -0.80
    inges
    -0.76
    ugu
    -0.74
    elong
    -0.73
    osc
    -0.73
    undai
    -0.73
    cknow
    -0.72
    ulates
    -0.72
    POSITIVE LOGITS
     Casey
    1.14
     Kats
    0.76
     McCorm
    0.76
     Isa
    0.74
     Clinic
    0.74
     Kas
    0.74
     Anthony
    0.73
     Dani
    0.72
     Johnston
    0.72
     Cassidy
    0.70
    Activations Density 0.009%

    No Known Activations