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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. 8-RES-JB
    11. 8978
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    Explanations

    phrases related to modes of transportation or methods of travel

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate direction or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rolled
    -0.68
     graz
    -0.67
     phased
    -0.66
     floated
    -0.63
    Edited
    -0.62
     kicked
    -0.59
     compounded
    -0.59
     hurled
    -0.58
     levied
    -0.58
     hes
    -0.58
    POSITIVE LOGITS
    pless
    0.89
     meet
    0.87
     maximize
    0.84
    asters
    0.80
    asted
    0.79
     fulfill
    0.78
    othy
    0.78
    ilers
    0.78
     avoid
    0.78
     relieve
    0.77
    Activations Density 0.220%

    No Known Activations