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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. 1-RES-JB
    11. 773
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    Explanations

    specific capitalized words

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of organizations or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    med
    -0.68
    unit
    -0.66
    bee
    -0.65
    orer
    -0.63
    channel
    -0.62
    air
    -0.62
    order
    -0.61
    ia
    -0.61
    raz
    -0.61
    camp
    -0.61
    POSITIVE LOGITS
    WAYS
    1.44
    MAN
    1.43
    STER
    1.36
    FORM
    1.33
    ISM
    1.28
    ERAL
    1.27
    COL
    1.27
    BRE
    1.27
    VER
    1.26
    BY
    1.26
    Activations Density 0.075%

    No Known Activations