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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. 4517
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    INDEX
    Explanations

    percentages

    oai_token-act-pair · gpt-3.5-turbo

    percentages in various contexts

    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
    DragonMagazine
    -0.72
    Attributes
    -0.68
    etta
    -0.66
    pload
    -0.66
    externalActionCode
    -0.65
    values
    -0.65
    chn
    -0.65
     Rid
    -0.64
    anwhile
    -0.64
    IDES
    -0.64
    POSITIVE LOGITS
    imet
    1.10
     cent
    1.01
    lein
    0.80
    enaries
    0.70
    imeter
    0.69
    igr
    0.69
    aire
    0.68
    rowth
    0.68
    olson
    0.67
    urion
    0.65
    Activations Density 0.015%

    No Known Activations