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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. 0-RES-JB
    11. 10364
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    Explanations

    terms related to evaluation and assessment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to various forms of evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Carnage
    -0.78
     Ukip
    -0.76
    tumblr
    -0.74
     Sidd
    -0.74
     Sinn
    -0.74
    stead
    -0.71
    rez
    -0.71
     Sir
    -0.70
     rebels
    -0.70
     Breach
    -0.69
    POSITIVE LOGITS
     evaluation
    2.93
     evaluate
    2.84
     evaluations
    2.73
     evaluated
    2.59
     evaluating
    2.58
     evaluates
    2.37
     Evaluation
    2.28
     Eval
    2.23
     eval
    2.20
    evaluate
    1.75
    Activations Density 0.031%

    No Known Activations