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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
    11. 10493
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    Explanations

    mentions of specific cities or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cities

    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
    witch
    -0.69
    milo
    -0.68
    oult
    -0.67
    IPS
    -0.67
    iferation
    -0.66
    ledge
    -0.66
    thus
    -0.66
    spin
    -0.65
     Pwr
    -0.64
    nir
    -0.63
    POSITIVE LOGITS
     city
    3.43
    city
    2.65
    City
    2.49
     cities
    2.43
     City
    2.43
     town
    2.19
     municipality
    1.98
     CITY
    1.96
    Mayor
    1.94
     mayor
    1.94
    Activations Density 0.027%

    No Known Activations