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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. 10-RES-JB
    11. 10384
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    INDEX
    Explanations

    significant events or moments in time

    oai_token-act-pair · gpt-3.5-turbo

    dates and events marking significant changes or developments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.68
    cius
    -0.65
    lihood
    -0.62
     indisp
    -0.61
     crow
    -0.59
    hid
    -0.59
    oided
    -0.59
    cule
    -0.59
     Quit
    -0.58
     odds
    -0.56
    POSITIVE LOGITS
    when
    0.99
     thanks
    0.94
     when
    0.89
     courtesy
    0.77
    due
    0.74
    thanks
    0.73
     owing
    0.72
     whereby
    0.71
     amidst
    0.71
     culminating
    0.71
    Activations Density 0.507%

    No Known Activations