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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. 9332
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    INDEX
    Explanations

    mentions of geographical locations, particularly towns

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "town" and its varying contexts

    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
    positive
    -0.80
    wcsstore
    -0.77
    utic
    -0.77
    acterial
    -0.76
    inguished
    -0.73
    zek
    -0.71
    ental
    -0.71
    argon
    -0.71
    Wan
    -0.71
    aphael
    -0.71
    POSITIVE LOGITS
    spe
    1.12
    folk
    1.09
    houses
    1.09
     halls
    1.03
    house
    1.01
     hall
    1.00
    wide
    0.97
    ships
    0.90
    scape
    0.89
     town
    0.83
    Activations Density 0.021%

    No Known Activations