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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. 4-RES-JB
    11. 16993
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    Explanations

    phrases related to running or being on the move

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to movement or being in transit

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

    No Comments

    Negative Logits
    ortium
    -0.71
    ults
    -0.68
    anmar
    -0.67
    ierce
    -0.67
    byter
    -0.64
    ritch
    -0.64
    ancial
    -0.64
    regor
    -0.63
    ibur
    -0.61
    hig
    -0.60
    POSITIVE LOGITS
     leash
    0.86
     behalf
    0.79
     occasions
    0.77
     basis
    0.76
     doorstep
    0.74
     heels
    0.74
     Bahá
    0.70
     periphery
    0.70
     occasion
    0.70
     Crusade
    0.69
    Activations Density 0.172%

    No Known Activations