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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. 10-RES-JB
    11. 21763
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    Explanations

    phrases related to public transportation systems

    oai_token-act-pair · gpt-3.5-turbo

    references to various transit systems and agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scully
    -0.74
    wine
    -0.69
     disse
    -0.66
     OPEC
    -0.66
     Ashes
    -0.65
     Xie
    -0.64
     Christensen
    -0.64
     Ryzen
    -0.63
    abama
    -0.63
     Duchess
    -0.63
    POSITIVE LOGITS
     riders
    1.11
     subway
    1.07
     commuters
    1.07
     Transit
    1.05
     transit
    1.03
     buses
    1.02
     commuter
    0.98
     commute
    0.97
     streetcar
    0.94
    Route
    0.93
    Activations Density 0.064%

    No Known Activations