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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. 20430
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    iasis
    -0.93
    quet
    -0.81
    ley
    -0.81
    lee
    -0.76
    ration
    -0.76
    leys
    -0.76
    vals
    -0.75
    fect
    -0.75
    bia
    -0.75
    sey
    -0.75
    POSITIVE LOGITS
    ONSORED
    0.77
    âĺħâĺħ
    0.69
    STEM
    0.67
    ï¸ı
    0.66
    wcs
    0.65
    è¯
    0.64
     EDITION
    0.63
    earable
    0.62
    Materials
    0.61
    Marginal
    0.61
    Activations Density 0.103%

    No Known Activations