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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 24220
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    Explanations

    information related to player transfers in sports

    oai_token-act-pair · gpt-3.5-turbo

    details related to player transfers in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Navajo
    -1.04
    Zip
    -0.98
     nonprofits
    -0.95
    Hispanic
    -0.95
    Anonymous
    -0.93
     FOIA
    -0.92
    FBI
    -0.92
     Cherokee
    -0.92
     Whitman
    -0.91
    GOP
    -0.88
    POSITIVE LOGITS
    iverpool
    1.44
     realise
    1.33
     mould
    1.33
     £
    1.33
     Fifa
    1.32
     favourites
    1.32
     centre
    1.29
     footballer
    1.27
     defence
    1.26
     favourite
    1.25
    Activations Density 1.361%

    No Known Activations