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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. 7-RES-JB
    6. 14341
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    Explanations

    verbs related to growth or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to growth or enhancement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mates
    -0.74
    aries
    -0.70
    thing
    -0.69
    ician
    -0.69
    stones
    -0.68
    gets
    -0.67
    nar
    -0.66
    atom
    -0.66
    icians
    -0.63
    tta
    -0.63
    POSITIVE LOGITS
     exponentially
    1.02
     awareness
    0.99
     visibility
    0.92
     sidx
    0.88
    xual
    0.86
     efficiency
    0.83
     effic
    0.83
     amounts
    0.83
     likelihood
    0.82
     sensitivity
    0.81
    Activations Density 0.060%

    No Known Activations