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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. 18580
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    INDEX
    Explanations

    locations or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographic locations or landmarks

    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
    Ĥ
    -0.81
    ments
    -0.78
    enger
    -0.75
    ment
    -0.75
    nik
    -0.74
     Centauri
    -0.73
    trak
    -0.71
    ties
    -0.71
    este
    -0.70
    bris
    -0.69
    POSITIVE LOGITS
     "$:/
    0.95
     Falls
    0.89
    COMPLE
    0.81
    TPPStreamerBot
    0.79
     Gorge
    0.78
     Niagara
    0.77
     Riverside
    0.75
     Compos
    0.74
     GOODMAN
    0.72
     Rapids
    0.72
    Activations Density 0.022%

    No Known Activations