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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. 3-RES-JB
    11. 5853
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    Explanations

    words related to luring, enticing, and tempting individuals

    oai_token-act-pair · gpt-3.5-turbo

    words related to luring or enticing people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PRESIDENT
    -0.78
    undred
    -0.71
    iets
    -0.69
    aration
    -0.69
    oret
    -0.68
    acterial
    -0.67
    asking
    -0.66
    ablo
    -0.63
    blance
    -0.62
    urgy
    -0.62
    POSITIVE LOGITS
     lure
    1.18
     lured
    1.00
    GGGGGGGG
    0.89
     prey
    0.80
     unsuspecting
    0.79
    glers
    0.71
     enticing
    0.71
    xtap
    0.71
     bait
    0.71
    ument
    0.70
    Activations Density 0.012%

    No Known Activations