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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. 13778
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    Explanations

    specific phrases related to web links or references like "Random Article Blend" or "Eyeborg Project."

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific article or article-like structures in written content

    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
    itures
    -0.64
    ibaba
    -0.58
    gian
    -0.57
    irtual
    -0.57
    ties
    -0.53
    dden
    -0.52
    conn
    -0.51
    76561
    -0.51
    gling
    -0.50
    TPP
    -0.50
    POSITIVE LOGITS
    ers
    0.69
    elines
    0.56
    ighty
    0.50
    ER
    0.50
    idd
    0.49
    ese
    0.49
    Arcade
    0.48
     along
    0.47
    abba
    0.47
     entert
    0.47
    Activations Density 0.288%

    No Known Activations