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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. 0-RES-JB
    11. 12622
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    INDEX
    Explanations

    terms related to reaching the highest point or a maximum value

    oai_token-act-pair · gpt-3.5-turbo

    terms related to peaks and plateaus in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Board
    -0.73
    igation
    -0.71
    Accessory
    -0.69
    ribe
    -0.69
    hand
    -0.68
    DI
    -0.68
    paper
    -0.66
     Sud
    -0.66
    deal
    -0.66
    required
    -0.65
    POSITIVE LOGITS
     peaked
    3.38
     peaks
    2.64
     plateau
    2.57
     peak
    1.78
     stagn
    1.63
     Peak
    1.47
     spiked
    1.32
     crest
    1.26
     fluct
    1.24
     spikes
    1.18
    Activations Density 0.041%

    No Known Activations