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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. 24145
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    Explanations

    numerical measurements in centimeters

    oai_token-act-pair · gpt-3.5-turbo

    measurements in centimeters

    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
    ":"","
    -0.76
    spell
    -0.70
    ggies
    -0.68
    iciary
    -0.67
    topic
    -0.64
    lez
    -0.63
    ceivable
    -0.62
     Homeland
    -0.60
    elines
    -0.60
     Jarrett
    -0.59
    POSITIVE LOGITS
     diameter
    0.95
    asonic
    0.81
    oses
    0.79
    ahon
    0.79
    jpg
    0.79
    illon
    0.78
    pieces
    0.77
    aj
    0.74
     thickness
    0.74
    obyl
    0.73
    Activations Density 0.006%

    No Known Activations