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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. 3-RES-JB
    11. 12869
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    INDEX
    Explanations

    terms related to strength, performance, and productivity

    oai_token-act-pair · gpt-3.5-turbo

    references to power plays in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reon
    -0.88
    VERTISEMENT
    -0.77
    inction
    -0.75
     Tsuk
    -0.74
    igmat
    -0.71
    verett
    -0.70
    romeda
    -0.70
    vm
    -0.70
    roma
    -0.69
    ventions
    -0.66
    POSITIVE LOGITS
     hitter
    0.89
     infield
    0.84
     hitters
    0.80
     bowling
    0.77
     winger
    0.75
     neut
    0.72
     ace
    0.72
     inward
    0.71
     forwards
    0.71
     skating
    0.71
    Activations Density 0.056%

    No Known Activations