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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 191
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    Explanations

    capital cities

    oai_token-act-pair · gpt-3.5-turbo

    references to various capitals of countries or regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AUT
    -0.79
    sbm
    -0.77
    lyak
    -0.77
     Schr
    -0.76
    andro
    -0.69
    wcsstore
    -0.69
    models
    -0.68
    nda
    -0.66
    CAST
    -0.66
    indu
    -0.66
    POSITIVE LOGITS
     capital
    0.91
     punishment
    0.88
    itals
    0.81
     capitals
    0.79
    orpor
    0.79
     metropolitan
    0.77
     city
    0.76
    omach
    0.72
     suburb
    0.70
     cities
    0.70
    Activations Density 0.016%

    No Known Activations