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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. 24079
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    INDEX
    Explanations

    mentions of something becoming famous or significant

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the emergence or growth of significance or status

    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
    agree
    -0.86
    achu
    -0.80
    writers
    -0.75
    Edit
    -0.75
    abilities
    -0.75
    ingham
    -0.74
    abases
    -0.73
    edit
    -0.73
    bots
    -0.70
    inside
    -0.69
    POSITIVE LOGITS
     fixture
    1.06
     staple
    1.05
     centerpiece
    1.04
     viable
    1.03
     permanent
    0.99
     footnote
    0.96
     contender
    0.96
     focal
    0.95
     cornerstone
    0.94
     formidable
    0.92
    Activations Density 0.155%

    No Known Activations