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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. 11149
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    Explanations

    phrases related to specific cities

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "City of" followed by various city names

    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
    wcs
    -0.75
    ateral
    -0.73
     filib
    -0.71
    ACE
    -0.66
    RM
    -0.66
     topical
    -0.65
    ESE
    -0.63
    edi
    -0.62
     handshake
    -0.61
     clutch
    -0.60
    POSITIVE LOGITS
     Atlanta
    0.95
     Indianapolis
    0.95
     Janeiro
    0.95
     Cincinnati
    0.90
     Minneapolis
    0.90
     Naples
    0.88
     Tulsa
    0.87
     Seattle
    0.86
     Tacoma
    0.86
     Pittsburgh
    0.84
    Activations Density 0.078%

    No Known Activations