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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. 18987
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    Explanations

    words related to naming conventions or identifiers in a text or code

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "name" and its variants

    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
    yrinth
    -0.92
    psey
    -0.87
    icult
    -0.81
    ilib
    -0.81
    elaide
    -0.80
    romy
    -0.78
    ĸļ
    -0.74
    awaru
    -0.73
    avorite
    -0.72
    emonium
    -0.71
    POSITIVE LOGITS
    plates
    1.28
    plate
    1.14
    paces
    1.11
    names
    0.95
    name
    0.91
    paced
    0.86
    ames
    0.84
    pace
    0.84
    coin
    0.80
    mark
    0.78
    Activations Density 0.032%

    No Known Activations