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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of urban development and cities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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
    eway
    -0.69
    pointer
    -0.68
    frey
    -0.68
    ledge
    -0.66
    affle
    -0.65
     Cutter
    -0.65
    diagn
    -0.65
    elf
    -0.64
    witch
    -0.64
     Diagn
    -0.63
    POSITIVE LOGITS
     cities
    3.63
     Cities
    2.75
     towns
    2.44
     municipalities
    2.23
     city
    2.11
     mayors
    2.01
     villages
    1.88
     neighborhoods
    1.85
    city
    1.81
     airports
    1.80
    Activations Density 0.021%

    No Known Activations