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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
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    Explanations

    references to the highest point or maximum level of something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "peak" indicating maximum levels or heights 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
    onsense
    -0.74
    erie
    -0.72
    cheat
    -0.71
    signed
    -0.70
    avering
    -0.69
     transpl
    -0.69
    oured
    -0.68
    andro
    -0.68
    ortium
    -0.67
    etc
    -0.66
    POSITIVE LOGITS
     peak
    1.00
     peaks
    0.99
     heights
    0.87
     height
    0.82
     highs
    0.80
     erection
    0.80
     pinnacle
    0.78
     simultane
    0.78
     Peak
    0.74
     moments
    0.74
    Activations Density 0.008%

    No Known Activations