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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. 9-RES-JB
    11. 3299
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    INDEX
    Explanations

    mentions of trends or patterns

    oai_token-act-pair · gpt-3.5-turbo

    references to trends or patterns over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.80
     oath
    -0.69
    vette
    -0.67
     Lak
    -0.64
     dos
    -0.64
    loo
    -0.64
     barr
    -0.63
     Pak
    -0.62
     sacrific
    -0.62
     Zup
    -0.61
    POSITIVE LOGITS
    setting
    1.21
     toward
    1.02
     towards
    0.92
     trend
    0.91
    set
    0.91
    lines
    0.90
    line
    0.89
    ivism
    0.81
    chart
    0.81
     trends
    0.80
    Activations Density 0.052%

    No Known Activations