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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. 11445
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    Explanations

    mentions of things being physically or metaphorically close to each other

    oai_token-act-pair · gpt-3.5-turbo

    references to proximity or closeness

    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
    onut
    -0.74
    ipel
    -0.73
    anity
    -0.73
    tails
    -0.72
    dir
    -0.69
    anners
    -0.69
    ondon
    -0.68
    oat
    -0.68
    inse
    -0.68
    asts
    -0.68
    POSITIVE LOGITS
     approximation
    0.96
     analogue
    0.83
     thereto
    0.80
     competitor
    0.78
     practicable
    0.77
     closest
    0.77
     kindred
    0.76
     neighbour
    0.75
     imaginable
    0.74
     possible
    0.73
    Activations Density 0.017%

    No Known Activations