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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. 7-RES-JB
    11. 15266
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    Explanations

    adjectives describing the nature or characteristics of something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ationally
    -0.68
    interrupted
    -0.65
     aptly
    -0.63
     omin
    -0.62
    awaru
    -0.62
    Sold
    -0.61
     sacked
    -0.61
     safely
    -0.61
    Pg
    -0.61
     vou
    -0.60
    POSITIVE LOGITS
    clusions
    0.94
    oxide
    0.83
    ads
    0.76
    clus
    0.75
    organic
    0.74
     nature
    0.73
    verts
    0.73
    versions
    0.73
    roads
    0.73
    format
    0.73
    Activations Density 0.283%

    No Known Activations