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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14975
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    Explanations

    locations or places, particularly involving transportation hubs like stations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various stations and their associated contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pace
    -0.99
    ãĥ£
    -0.89
    onymous
    -0.77
    umers
    -0.75
    umen
    -0.71
    ussen
    -0.70
    assic
    -0.69
    acies
    -0.69
    risome
    -0.69
    ãĥ¥
    -0.68
    POSITIVE LOGITS
    rador
    0.86
    swick
    0.81
     Sauce
    0.74
    Hunt
    0.72
     Sapphire
    0.71
    Keys
    0.64
     Flavoring
    0.64
    eers
    0.62
     SQU
    0.62
     Yard
    0.62
    Activations Density 0.043%

    No Known Activations