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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. 8573
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    Explanations

    differences or distinctions between entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss comparisons or distinctions

    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
    ATA
    -0.80
    rollers
    -0.77
    rive
    -0.74
    vez
    -0.72
    mberg
    -0.71
    ODE
    -0.69
    kamp
    -0.67
    å°Ĩ
    -0.67
    Constructed
    -0.66
    zona
    -0.66
    POSITIVE LOGITS
     between
    1.11
    between
    1.07
     Between
    0.97
    iveness
    0.92
    yip
    0.91
    erence
    0.89
     difference
    0.78
     maker
    0.78
    iator
    0.77
    uyomi
    0.77
    Activations Density 0.028%

    No Known Activations