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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. 3-RES-JB
    11. 16847
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    INDEX
    Explanations

    references to high points or peaks within numerical data

    oai_token-act-pair · gpt-3.5-turbo

    references to maximum levels or high points in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oured
    -0.79
    signed
    -0.72
    erie
    -0.70
    icate
    -0.70
     transpl
    -0.69
    onne
    -0.68
    cheat
    -0.67
    icator
    -0.67
    orde
    -0.66
    ija
    -0.64
    POSITIVE LOGITS
     heights
    0.83
     height
    0.81
     peak
    0.79
     highs
    0.79
     peaks
    0.79
     erection
    0.74
     Height
    0.72
     capacity
    0.70
     lows
    0.70
     brightness
    0.70
    Activations Density 0.009%

    No Known Activations