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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. 1-RES-JB
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    Explanations

    dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "ember" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    overs
    -0.67
    andra
    -0.65
     Collider
    -0.64
     Wonderful
    -0.62
     Pathfinder
    -0.61
    isSpecialOrderable
    -0.60
    hiba
    -0.59
     supervised
    -0.57
     Chosen
    -0.57
    sav
    -0.57
    POSITIVE LOGITS
    ember
    1.23
    getic
    0.94
    mented
    0.94
    deen
    0.92
    gdala
    0.88
    inar
    0.88
    mber
    0.86
    mentation
    0.85
    gments
    0.84
    theless
    0.83
    Activations Density 0.005%

    No Known Activations