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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. 8-RES-JB
    6. 21624
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    Explanations

    adjectives describing the size or scale of something

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe magnitude or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iphate
    -0.79
    ifice
    -0.72
    roller
    -0.67
    ailable
    -0.66
    —"
    -0.63
    â̦"
    -0.63
    ilege
    -0.63
    athan
    -0.63
    ocrat
    -0.63
    iggurat
    -0.62
    POSITIVE LOGITS
    ly
    0.97
     Examples
    0.92
     indications
    0.91
     examples
    0.90
     observers
    0.89
     excerpts
    0.88
     discrepancies
    0.87
     majorities
    0.87
     parallels
    0.85
     considerations
    0.84
    Activations Density 0.385%

    No Known Activations