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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. 15549
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    Explanations

    summaries or recaps of past events or episodes

    oai_token-act-pair · gpt-3.5-turbo

    content related to recaps or summaries

    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
     Frankie
    -0.73
     Values
    -0.70
    ND
    -0.68
    taboola
    -0.67
     torque
    -0.66
     Rue
    -0.66
     Oath
    -0.65
    thumbnails
    -0.65
    ife
    -0.64
    trust
    -0.64
    POSITIVE LOGITS
     recap
    2.26
     mer
    1.80
     commemor
    1.24
    etr
    1.19
     Johnston
    1.04
    sem
    0.98
     summar
    0.93
     Recap
    0.88
    bil
    0.87
     Reconstruction
    0.83
    Activations Density 0.030%

    No Known Activations