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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. 2-RES-JB
    11. 5405
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    INDEX
    Explanations

    adverbs emphasizing complete certainty or intensity

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enthusiasm or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.80
    åº
    -0.78
    mble
    -0.75
    yip
    -0.72
     Pike
    -0.68
     pse
    -0.67
    EStream
    -0.66
     pige
    -0.66
    mere
    -0.66
    lest
    -0.65
    POSITIVE LOGITS
    ect
    0.70
     unrelated
    0.70
     annihil
    0.70
     qualified
    0.70
    aneously
    0.69
     disreg
    0.69
     obliter
    0.68
     nude
    0.68
     divorced
    0.67
     dependent
    0.67
    Activations Density 0.006%

    No Known Activations