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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. 14650
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    INDEX
    Explanations

    phrases indicating a contrast or opposition

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases indicative of connection or addition in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
    HEAD
    -0.71
     Tid
    -0.66
    steam
    -0.63
    lifting
    -0.61
    pull
    -0.59
     Osw
    -0.59
     Reach
    -0.59
    ACT
    -0.58
     Connect
    -0.57
    ACTION
    -0.56
    POSITIVE LOGITS
     nor
    1.31
     consequently
    1.13
     therefore
    1.05
     neither
    1.05
     Nor
    1.04
     furthermore
    1.02
    nor
    0.95
     moreover
    0.94
    yet
    0.93
    Nor
    0.90
    Activations Density 0.375%

    No Known Activations