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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. 21449
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    Explanations

    mathematical terms related to differences or differentials

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to difficulty and challenges

    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
    ÃįÃį
    -0.83
    ctica
    -0.80
    tto
    -0.78
    meal
    -0.72
    matic
    -0.72
    kamp
    -0.70
    swick
    -0.70
    matically
    -0.68
     Salvation
    -0.67
    crow
    -0.67
    POSITIVE LOGITS
    icult
    1.47
    erence
    1.19
    iculty
    1.18
    erences
    1.15
    idence
    1.06
    inished
    1.06
    raction
    1.04
    ering
    0.98
    eren
    0.97
    eree
    0.96
    Activations Density 0.033%

    No Known Activations