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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
    11. 13840
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    Explanations

    personal reflections and repeated phrases

    oai_token-act-pair · gpt-3.5-turbo

    recurring questions and common phrases in discussions

    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
    robe
    -0.86
    ensing
    -0.70
    teness
    -0.69
    patient
    -0.69
    cules
    -0.68
    oops
    -0.66
    vironment
    -0.66
    adish
    -0.65
    emort
    -0.59
    erate
    -0.59
    POSITIVE LOGITS
     throughout
    1.11
     whenever
    1.10
     nowadays
    1.01
     everywhere
    0.93
     amongst
    0.92
     across
    0.85
     anecd
    0.83
     among
    0.81
     plag
    0.80
     preval
    0.78
    Activations Density 0.427%

    No Known Activations