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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. 4-RES-JB
    11. 17382
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    INDEX
    Explanations

    phrases related to positive and negative assessments or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating positive or favorable conditions

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

    No Comments

    Negative Logits
    schild
    -0.61
    tein
    -0.56
     Prosecut
    -0.56
     Iraq
    -0.53
    mbudsman
    -0.52
    ghazi
    -0.52
    exit
    -0.49
     discriminatory
    -0.49
     Communists
    -0.49
     militias
    -0.49
    POSITIVE LOGITS
     newcom
    0.60
    nown
    0.60
     Neon
    0.56
    rawdownloadcloneembedreportprint
    0.55
     sci
    0.54
     rave
    0.54
     genre
    0.52
     Uncharted
    0.52
    canon
    0.51
     anime
    0.51
    Activations Density 2.294%

    No Known Activations