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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. 9-RES-JB
    11. 3352
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    Explanations

    keywords related to including, incorporating, adding, featuring, and containing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to inclusion and representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assetsadobe
    -0.78
    sis
    -0.74
     theirs
    -0.70
    INESS
    -0.65
    Shop
    -0.64
    esters
    -0.64
    Dist
    -0.63
    PRO
    -0.62
     Sabha
    -0.62
    ickr
    -0.62
    POSITIVE LOGITS
     elements
    0.82
     nudity
    0.75
     snippets
    0.73
    ographical
    0.73
     segments
    0.73
    ographic
    0.73
     handwritten
    0.72
     identifiable
    0.69
     narration
    0.69
     spoilers
    0.69
    Activations Density 0.427%

    No Known Activations