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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. 4-RES-JB
    11. 1969
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    INDEX
    Explanations

    references to detailed examinations or investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of analysis

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

    No Comments

    Negative Logits
    birth
    -0.67
    cil
    -0.66
    inal
    -0.62
    cot
    -0.61
    lighting
    -0.60
     Constantin
    -0.60
    mint
    -0.59
     Agric
    -0.59
     Nadu
    -0.57
     diaper
    -0.57
    POSITIVE LOGITS
    alyses
    0.86
    eering
    0.82
    mble
    0.78
     analysis
    0.78
     partName
    0.78
    imony
    0.77
    racuse
    0.77
    ItemTracker
    0.77
    xual
    0.76
     suite
    0.74
    Activations Density 0.035%

    No Known Activations