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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. 6-RES-JB
    11. 16976
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    Explanations

    phrases and terms related to research findings and forecasts

    oai_token-act-pair · gpt-3.5-turbo

    research-related phrases and conclusions

    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
    alone
    -0.75
    Dialogue
    -0.70
     Pip
    -0.68
     Preston
    -0.67
    oshenko
    -0.66
     Maintenance
    -0.66
    pour
    -0.66
     Petty
    -0.65
     Hutch
    -0.64
    chan
    -0.63
    POSITIVE LOGITS
     predicting
    0.92
     attest
    0.82
     forecasts
    0.78
    uggest
    0.77
     conclusive
    0.75
     unequivocally
    0.75
     consensus
    0.74
     predict
    0.73
     unequiv
    0.73
     diagnoses
    0.72
    Activations Density 0.823%

    No Known Activations