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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. 10-RES-JB
    6. 14673
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    INDEX
    Explanations

    verbs related to movement or progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words associated with walking or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inous
    -0.78
    vous
    -0.76
    accompanied
    -0.75
    irl
    -0.72
    naissance
    -0.70
    ule
    -0.67
    ²¾
    -0.66
    upt
    -0.64
    rise
    -0.63
    employed
    -0.62
    POSITIVE LOGITS
     bounds
    0.85
     halls
    0.84
     aisle
    0.75
    ards
    0.73
     threshold
    0.73
    auntlet
    0.68
     thresholds
    0.67
    agons
    0.67
    stones
    0.67
     ethical
    0.66
    Activations Density 0.116%

    No Known Activations