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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. 4-RES-JB
    11. 24327
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    Explanations

    the word "peak" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to maximum levels or highs in various contexts

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

    No Comments

    Negative Logits
    oured
    -0.77
    ktop
    -0.70
    signed
    -0.69
     transpl
    -0.68
    lean
    -0.67
    cheat
    -0.65
    icate
    -0.64
     interviewed
    -0.64
    icator
    -0.63
    recated
    -0.63
    POSITIVE LOGITS
     peaks
    0.73
     peak
    0.73
    lite
    0.72
     height
    0.72
     heights
    0.72
     highs
    0.69
     erection
    0.69
     capacity
    0.68
     Height
    0.67
    lighting
    0.67
    Activations Density 0.012%

    No Known Activations