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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. 3-RES-JB
    11. 12819
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    Explanations

    proper nouns of people's names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names, particularly people associated with controversy or notable events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stellar
    -0.70
    bucks
    -0.69
    chnology
    -0.67
    ious
    -0.66
    heimer
    -0.66
    lords
    -0.65
    mint
    -0.64
    living
    -0.64
    ional
    -0.63
    ital
    -0.63
    POSITIVE LOGITS
    ayette
    0.93
     Faw
    0.84
    acies
    0.77
     mosqu
    0.76
    pir
    0.76
    ringe
    0.74
    ilipp
    0.73
    agascar
    0.73
    chwitz
    0.73
     Pengu
    0.72
    Activations Density 0.015%

    No Known Activations