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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. 11-RES-JB
    11. 23971
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    Explanations

    words related to a decrease or reduction in quantity or quality

    oai_token-act-pair · gpt-3.5-turbo

    terms related to decline or decreasing trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.70
    archives
    -0.67
    ulsion
    -0.63
    andise
    -0.63
    azor
    -0.62
    Initialized
    -0.62
    Purchase
    -0.61
     Trials
    -0.60
    ahu
    -0.59
    rera
    -0.58
    POSITIVE LOGITS
     precip
    1.21
     steep
    0.92
     sharply
    0.87
     drastically
    0.81
     dramatically
    0.76
    graded
    0.75
     steadily
    0.74
     compared
    0.73
     thereafter
    0.72
     markedly
    0.72
    Activations Density 0.128%

    No Known Activations