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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. 20746
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    Explanations

    instances of products or items being available in different colors or versions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the availability or arrival of products

    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
    ingham
    -0.75
    orthodox
    -0.72
    fts
    -0.66
    ruff
    -0.65
    idav
    -0.65
    ivas
    -0.63
    iple
    -0.63
    ricular
    -0.63
    imon
    -0.63
    oris
    -0.63
    POSITIVE LOGITS
     undone
    0.96
     packaged
    0.90
     nowhere
    0.80
     forth
    0.76
     ashore
    0.75
     along
    0.73
     equipped
    0.73
     roaring
    0.72
     peril
    0.72
     closest
    0.70
    Activations Density 0.084%

    No Known Activations