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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. 18772
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    Explanations

    references to natural disasters or accidents

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of natural phenomena related to falling

    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
    cius
    -0.71
    other
    -0.71
     micro
    -0.68
    PLA
    -0.65
    %]
    -0.63
     sul
    -0.63
    hett
    -0.61
     other
    -0.60
    ño
    -0.59
    essee
    -0.58
    POSITIVE LOGITS
    fall
    1.50
    falls
    1.21
    owship
    1.01
    Fall
    1.00
    opian
    0.93
     Falling
    0.87
    theless
    0.86
     Ascension
    0.85
    ãĤ£
    0.83
    hesda
    0.79
    Activations Density 0.007%

    No Known Activations