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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. 2-RES-JB
    6. 8628
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    Explanations

    proper nouns or names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to validation or justification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cular
    -0.88
    cule
    -0.77
    pmwiki
    -0.71
    pec
    -0.70
    senal
    -0.70
    asers
    -0.69
    cules
    -0.64
    ps
    -0.63
    cone
    -0.63
     cytok
    -0.62
    POSITIVE LOGITS
     Kejriwal
    1.16
    icators
    0.94
    ictive
    0.93
    sson
    0.87
    vind
    0.86
    icator
    0.86
    ication
    0.85
    icates
    0.80
    icious
    0.80
    icate
    0.80
    Activations Density 0.008%

    No Known Activations