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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. 1-RES-JB
    6. 8262
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    INDEX
    Explanations

    mentions of speakers making statements or expressing opinions

    oai_token-act-pair · gpt-3.5-turbo

    statements attributed to different speakers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ugal
    -0.87
    estern
    -0.82
    folios
    -0.72
     earthqu
    -0.68
    nerg
    -0.68
    ĸļ士
    -0.68
     pione
    -0.68
    ÃĥÃĤÃĥÃĤ
    -0.66
    ACTED
    -0.65
    ortunately
    -0.65
    POSITIVE LOGITS
     goodbye
    0.89
    omething
    0.78
    upon
    0.75
     STATS
    0.70
    ynthesis
    0.68
     says
    0.65
    tics
    0.65
     Merry
    0.64
     Birch
    0.63
    andra
    0.63
    Activations Density 0.078%

    No Known Activations