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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. 0-RES-JB
    6. 6014
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    INDEX
    Explanations

    numeric patterns related to years or figures

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to monetary values and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     polyg
    -0.67
     Ly
    -0.67
     isot
    -0.67
     Lit
    -0.66
     rice
    -0.66
     Atlas
    -0.63
     roll
    -0.63
    aly
    -0.63
     lett
    -0.63
     rele
    -0.63
    POSITIVE LOGITS
    77
    2.71
    79
    2.67
    78
    2.60
    76
    2.51
    81
    2.16
    82
    2.13
    83
    2.03
    73
    2.02
    74
    2.02
    71
    1.90
    Activations Density 0.063%

    No Known Activations