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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. 0-RES-JB
    6. 6010
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    INDEX
    Explanations

    words related to actions or processes that involve intense activity or change

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the word "create" or related verb forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bring
    -0.58
     neigh
    -0.58
     prod
    -0.56
     unlock
    -0.55
    rock
    -0.55
    gear
    -0.55
    bring
    -0.54
     visibility
    -0.53
     raise
    -0.52
     Ung
    -0.51
    POSITIVE LOGITS
    ated
    4.14
    ating
    2.74
    ATED
    2.46
    ates
    2.30
    ation
    2.12
    ate
    2.09
    ATING
    1.89
    ations
    1.87
    ator
    1.84
    ators
    1.79
    Activations Density 0.017%

    No Known Activations