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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. 9-RES-JB
    11. 8941
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    words related to travel and movement

    oai_token-act-pair · gpt-3.5-turbo

    words related to travel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    corn
    -0.71
    encies
    -0.70
    rations
    -0.69
    sei
    -0.68
    jac
    -0.63
    election
    -0.62
    arist
    -0.62
    BALL
    -0.59
     Ending
    -0.57
    rics
    -0.57
    POSITIVE LOGITS
     abroad
    1.11
     extensively
    1.03
     internationally
    0.93
     across
    0.88
     continents
    0.85
     alone
    0.80
    agascar
    0.80
     itiner
    0.77
     farther
    0.77
     overseas
    0.77
    Activations Density 0.061%

    No Known Activations