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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. 9734
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    INDEX
    Explanations

    phrases indicating significant impact or improvement

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers that convey a strong positive impact or significance

    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
    Not in Any Lists

    No Comments

    Negative Logits
    essional
    -0.60
    party
    -0.59
    enter
    -0.59
    hatt
    -0.59
    sale
    -0.57
    eve
    -0.57
    bang
    -0.57
    place
    -0.57
    wear
    -0.56
    appropriate
    -0.56
    POSITIVE LOGITS
     greatly
    3.38
     tremendously
    2.12
     immensely
    2.04
     enormously
    2.02
     vastly
    1.96
     drastically
    1.96
     sorely
    1.74
     hugely
    1.73
     considerably
    1.70
     dramatically
    1.68
    Activations Density 0.014%

    No Known Activations