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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. 4775
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    Explanations

    words related to urban areas, specifically towns and cities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "town" in various contexts

    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
    utic
    -0.76
    quet
    -0.71
    TPP
    -0.70
    cius
    -0.68
    asive
    -0.67
    Wan
    -0.67
    ucl
    -0.66
    Technical
    -0.65
    ERC
    -0.64
    ONS
    -0.64
    POSITIVE LOGITS
    town
    0.99
    ship
    0.95
    folk
    0.94
    ships
    0.93
     Rats
    0.86
     Borough
    0.83
    wide
    0.81
    eous
    0.77
     Manhattan
    0.77
    raft
    0.77
    Activations Density 0.007%

    No Known Activations