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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. 2-RES-JB
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    Explanations

    mentions of specific cities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "city" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igham
    -1.01
    etsk
    -0.97
    arios
    -0.92
    aye
    -0.82
    imilar
    -0.80
    én
    -0.79
    ftime
    -0.79
    ibaba
    -0.79
    ogle
    -0.79
    reditary
    -0.78
    POSITIVE LOGITS
    scape
    1.18
    wide
    1.15
     skyline
    0.99
     councillor
    0.97
     council
    0.94
     hall
    0.87
     dwell
    0.85
     mayor
    0.85
     ordinance
    0.81
     attorney
    0.81
    Activations Density 0.045%

    No Known Activations