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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. 0-RES-JB
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    Explanations

    phrases related to public transportation or transit systems

    oai_token-act-pair · gpt-3.5-turbo

    references to public transit systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Guth
    -0.84
     Witches
    -0.84
     Schwar
    -0.78
     Skull
    -0.72
    Billy
    -0.69
     skulls
    -0.68
     Witch
    -0.68
    wife
    -0.67
    Sword
    -0.67
     Wyn
    -0.67
    POSITIVE LOGITS
     transit
    3.93
     Transit
    2.66
     transportation
    1.89
     transport
    1.61
     TTC
    1.56
     streetcar
    1.44
     Transportation
    1.42
     subway
    1.36
     MTA
    1.30
     BART
    1.27
    Activations Density 0.007%

    No Known Activations