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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. 7-RES-JB
    11. 5033
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    Explanations

    phrases related to significant changes or transformations

    oai_token-act-pair · gpt-3.5-turbo

    references to significant changes or transformations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    çĦ
    -0.69
    ç«
    -0.69
    stra
    -0.68
    mination
    -0.66
    beit
    -0.64
    äºĶ
    -0.64
    è¦ļéĨĴ
    -0.63
     DRAGON
    -0.62
     Parables
    -0.61
    rought
    -0.60
    POSITIVE LOGITS
     dramatically
    0.95
     drastically
    0.93
    ĸļ
    0.86
    amorph
    0.77
     radically
    0.77
     abruptly
    0.75
    iating
    0.74
     markedly
    0.73
     perceptions
    0.72
     citiz
    0.69
    Activations Density 0.051%

    No Known Activations