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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. 23101
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    Explanations

    mentions of blankets

    oai_token-act-pair · gpt-3.5-turbo

    references to coverings or layers, particularly focusing on types of blankets and related items

    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
    ymes
    -0.80
     sidx
    -0.70
    ctions
    -0.69
    ĸ
    -0.64
    Ķ
    -0.64
    ttle
    -0.64
    sych
    -0.63
    erence
    -0.63
    endants
    -0.63
    tics
    -0.62
    POSITIVE LOGITS
     blanket
    1.23
     carpet
    0.93
     blankets
    0.91
    spread
    0.88
     draped
    0.87
    shirt
    0.86
     COVER
    0.84
     applic
    0.83
     curtains
    0.82
    abies
    0.81
    Activations Density 0.030%

    No Known Activations