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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. 2-RES-JB
    11. 6114
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    INDEX
    Explanations

    mentions of specific entities or companies such as "Viz" and "Eskimo"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific media company or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.92
    atton
    -0.76
    ally
    -0.74
    onies
    -0.73
    ppelin
    -0.72
     Lennon
    -0.71
    ilitary
    -0.71
    zanne
    -0.71
    itably
    -0.69
    eters
    -0.69
    POSITIVE LOGITS
     Viz
    1.14
     advis
    0.73
     Wiz
    0.71
     Iz
    0.71
    orius
    0.70
    abase
    0.68
    hawk
    0.68
    lege
    0.68
     anat
    0.68
     Alley
    0.68
    Activations Density 0.013%

    No Known Activations