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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. 11-RES-JB
    11. 13379
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    Explanations

    names of public figures along with verbs indicating speech, such as 'speak' and 'says'

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports and player movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    halla
    -0.69
    tnc
    -0.66
    DAQ
    -0.65
    Zip
    -0.63
    entimes
    -0.62
     statewide
    -0.60
     Cherokee
    -0.59
    Medium
    -0.59
     anyways
    -0.58
     jurisd
    -0.58
    POSITIVE LOGITS
     Tottenham
    1.49
     Everton
    1.43
     Liverpool
    1.40
     Arsenal
    1.37
     Sunderland
    1.35
     Swansea
    1.32
    ottenham
    1.32
     Leicester
    1.32
     Juventus
    1.30
    Liverpool
    1.30
    Activations Density 0.541%

    No Known Activations