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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
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    Explanations

    mentions of the word "mild" with various contexts and intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to mildness or moderate intensity

    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
    ilater
    -0.76
    FOR
    -0.74
    ynthesis
    -0.72
    Drive
    -0.72
    library
    -0.72
    Companies
    -0.71
     GOODMAN
    -0.68
    ablishment
    -0.68
     Engineers
    -0.68
    Cho
    -0.68
    POSITIVE LOGITS
     mild
    1.16
    est
    1.00
    er
    0.87
     winters
    0.79
     moderate
    0.76
    erate
    0.75
    ew
    0.73
     surpr
    0.73
    entimes
    0.71
    ened
    0.70
    Activations Density 0.005%

    No Known Activations