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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. 10-RES-JB
    6. 23761
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    INDEX
    Explanations

    individuals or professions followed by a numeric rating or description

    oai_token-act-pair · gpt-3.5-turbo

    roles or titles associated with individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.75
    ween
    -0.74
    ÙIJ
    -0.71
    Roaming
    -0.66
    selves
    -0.64
    fw
    -0.64
    Translation
    -0.63
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.63
    izoph
    -0.62
    FREE
    -0.62
    POSITIVE LOGITS
     Geoff
    1.04
     Shaun
    1.04
     warns
    1.03
     extraord
    1.03
     defends
    1.02
     Jerry
    1.01
     Patrick
    1.00
     Gina
    1.00
     Tony
    1.00
     Stephen
    1.00
    Activations Density 0.267%

    No Known Activations