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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 4965
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    INDEX
    Explanations

    phrases indicating a prediction or intention for the future

    oai_token-act-pair · gpt-3.5-turbo

    future intentions or predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amped
    -0.70
    Newsletter
    -0.69
    aina
    -0.63
    regulated
    -0.62
    eatured
    -0.61
    illin
    -0.61
    ãĥĺãĥ©
    -0.61
     Romeo
    -0.60
    arre
    -0.60
    ourke
    -0.59
    POSITIVE LOGITS
     be
    0.90
     gladly
    0.90
     surely
    0.89
     likely
    0.87
     doubtless
    0.86
     undoubtedly
    0.85
     forever
    0.84
     probably
    0.83
     definitely
    0.82
     ALWAYS
    0.79
    Activations Density 0.157%

    No Known Activations