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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. 6-RES-JB
    11. 5126
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    Explanations

    references to interception, specifically in the context of communication or interception technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the act of interception, especially in the context of communications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Graph
    -0.67
    blood
    -0.67
    jury
    -0.67
    bold
    -0.66
     stain
    -0.63
    adders
    -0.62
    gger
    -0.61
    fred
    -0.61
    itis
    -0.61
    Aid
    -0.61
    POSITIVE LOGITS
     intercepted
    0.95
     intercept
    0.90
    ibles
    0.83
    IBLE
    0.77
    ãĥ¼ãĥĨãĤ£
    0.73
     interception
    0.72
    ezvous
    0.70
     interceptions
    0.70
    ors
    0.70
    elligence
    0.68
    Activations Density 0.021%

    No Known Activations