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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
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    Explanations

    information related to events or gatherings that are being held

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "held" in various contexts

    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
    ettel
    -0.65
     deceive
    -0.65
    clerosis
    -0.65
    odor
    -0.64
     Daylight
    -0.64
    debian
    -0.63
    article
    -0.62
     Injury
    -0.62
     Stim
    -0.61
    economic
    -0.59
    POSITIVE LOGITS
    held
    0.99
     held
    0.97
     Held
    0.96
     hold
    0.86
    holding
    0.83
    ĸļ
    0.79
    erness
    0.78
    pole
    0.77
    hold
    0.77
     sway
    0.77
    Activations Density 0.020%

    No Known Activations