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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. 24305
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    Explanations

    keywords related to universities and academic institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to universities and educational institutions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     1975
    -0.64
    .ãĢį
    -0.63
    .''.
    -0.62
     1967
    -0.61
     1977
    -0.61
     1973
    -0.60
    ]).
    -0.59
     1978
    -0.57
     1981
    -0.57
     1962
    -0.56
    POSITIVE LOGITS
     actionGroup
    0.71
    ctuary
    0.65
     vigilance
    0.63
    yles
    0.62
     counselling
    0.61
     patrolling
    0.61
    istries
    0.60
     assisting
    0.60
     stocking
    0.59
     Committees
    0.58
    Activations Density 1.914%

    No Known Activations