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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. 7595
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    Explanations

    instances where there is repeated back and forth movement or action

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the phrase "back and forth."

    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
    azo
    -0.77
     Hayward
    -0.68
    =-=-=-=-=-=-=-=-
    -0.67
    illard
    -0.63
    ajo
    -0.60
     Journals
    -0.59
    GE
    -0.58
    wan
    -0.58
     Glover
    -0.58
     rake
    -0.58
    POSITIVE LOGITS
    right
    1.16
    forth
    1.01
    inately
    0.90
    entimes
    0.89
    comings
    0.87
    plain
    0.85
    upon
    0.80
    coming
    0.77
    stretched
    0.77
    ensibly
    0.76
    Activations Density 0.041%

    No Known Activations