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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. 8910
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    Explanations

    strings starting with "Ċ"

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to warnings or significant events

    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
    illac
    -0.76
    ngth
    -0.73
     utilizing
    -0.72
    halla
    -0.68
     utilized
    -0.67
    lift
    -0.62
    mallow
    -0.62
     Phant
    -0.62
     endeavors
    -0.61
     Oblivion
    -0.61
    POSITIVE LOGITS
    BBC
    1.08
     BBC
    0.84
    Image
    0.82
    Analysis
    0.81
    alys
    0.72
     Nato
    0.72
     (£
    0.72
    Prof
    0.72
    abulary
    0.70
     presenter
    0.70
    Activations Density 0.116%

    No Known Activations