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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. 10-RES-JB
    11. 3103
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    Explanations

    information related to sports recruiting and player evaluations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports recruiting and player evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     apologise
    -0.76
     apologised
    -0.75
     Responsibility
    -0.73
     Guests
    -0.69
     Paradox
    -0.67
     reconciliation
    -0.67
     stewards
    -0.67
     crem
    -0.67
    endars
    -0.64
    chairs
    -0.64
    POSITIVE LOGITS
     undrafted
    1.38
     scouts
    1.22
     collegiate
    1.21
    College
    1.16
     college
    1.14
     athleticism
    1.12
     Rivals
    1.11
    college
    1.10
     freshman
    1.08
     athlet
    1.07
    Activations Density 0.546%

    No Known Activations