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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. 3-RES-JB
    6. 1013
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    Explanations

    maps

    oai_token-act-pair · gpt-3.5-turbo

    references to maps

    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
    nuts
    -0.83
    nder
    -0.77
    icer
    -0.76
    ruciating
    -0.75
    vae
    -0.75
    ntil
    -0.71
    idth
    -0.67
    aneous
    -0.67
    ente
    -0.66
    ership
    -0.66
    POSITIVE LOGITS
    ographer
    0.88
     map
    0.87
     mapped
    0.78
     sheet
    0.78
     maps
    0.77
     outline
    0.76
     overlay
    0.74
    map
    0.73
    MAP
    0.72
     MAP
    0.72
    Activations Density 0.011%

    No Known Activations