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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12038
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    INDEX
    Explanations

    words related to analysis, color, armor, and defense

    oai_token-act-pair · gpt-3.5-turbo

    words related to analysis, color, behavior, and defense

    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
     VIDEOS
    -0.81
    Shot
    -0.71
    thal
    -0.71
    eah
    -0.69
    externalActionCode
    -0.67
    OHN
    -0.67
     Carlson
    -0.67
     Dull
    -0.67
    behavior
    -0.64
     Gott
    -0.63
    POSITIVE LOGITS
    £
    1.07
     Whilst
    0.96
     analyse
    0.95
    uminium
    0.94
     programmes
    0.93
     tyre
    0.90
     defences
    0.90
     tyres
    0.90
     £
    0.88
     aluminium
    0.87
    Activations Density 0.548%

    No Known Activations