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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
    11. 21453
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    INDEX
    Explanations

    words related to a decrease or reduction in quantity or quality

    oai_token-act-pair · gpt-3.5-turbo

    mentions of decline in various contexts

    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
    tein
    -0.79
    Sources
    -0.71
    ramid
    -0.69
     Stadium
    -0.68
    neys
    -0.68
    Offline
    -0.66
    ocular
    -0.66
    Pur
    -0.66
     Helpful
    -0.64
    ":[{"
    -0.64
    POSITIVE LOGITS
     decline
    1.03
     declines
    0.95
     slump
    0.80
     attrition
    0.78
     declining
    0.78
     escal
    0.77
     precip
    0.76
     degradation
    0.75
     reduction
    0.74
     decrease
    0.74
    Activations Density 0.010%

    No Known Activations