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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. 8706
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    Explanations

    locations, specifically alleys and sewers, sometimes associated with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    references to alleys and sewer systems

    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
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.95
    bernatorial
    -0.80
    âĢ¢âĢ¢
    -0.80
    elsen
    -0.71
    ilon
    -0.71
    anamo
    -0.68
     Latest
    -0.67
    =-=-=-=-=-=-=-=-
    -0.67
    ãĥ¯
    -0.67
    OPLE
    -0.65
    POSITIVE LOGITS
    way
    1.17
     alley
    1.12
    ways
    1.04
    WAY
    0.85
    pipe
    0.83
    lane
    0.82
    wy
    0.82
    street
    0.81
    nuts
    0.77
    vill
    0.77
    Activations Density 0.006%

    No Known Activations