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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. 7-RES-JB
    11. 7808
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    Explanations

    Japanese names, likely related to creative fields like movies or animation

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names associated with individuals in a specific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otaur
    -0.77
    omorphic
    -0.73
    ologies
    -0.71
    agons
    -0.70
    omorph
    -0.70
     calendars
    -0.67
    adelphia
    -0.63
    EMS
    -0.63
    acebook
    -0.63
    onics
    -0.63
    POSITIVE LOGITS
    Äĩ
    1.03
     Jr
    0.99
    ÄŁ
    0.99
    zzi
    0.96
    yan
    0.93
     Sr
    0.86
    ÅŁ
    0.86
    hiba
    0.82
    jri
    0.81
    vich
    0.78
    Activations Density 0.164%

    No Known Activations