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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. 3083
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    Explanations

    terms related to businesses or locations with 'empor' in the word

    oai_token-act-pair · gpt-3.5-turbo

    words related to reporting or journalism

    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
    enegger
    -0.95
     largeDownload
    -0.71
    shapeshifter
    -0.67
    ITNESS
    -0.67
     [|
    -0.67
    urst
    -0.65
    wake
    -0.63
    schild
    -0.61
    VERTISEMENT
    -0.61
     Heist
    -0.60
    POSITIVE LOGITS
    ters
    1.09
    andum
    0.99
    por
    0.95
    tering
    0.92
    adic
    0.86
    ridor
    0.86
    unal
    0.86
    ional
    0.85
    idium
    0.85
    oshenko
    0.84
    Activations Density 0.007%

    No Known Activations