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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. 756
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    INDEX
    Explanations

    phrases related to gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    references to a collective or generalized group

    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
     Kamp
    -0.76
    illac
    -0.66
    abwe
    -0.62
    yip
    -0.62
    pu
    -0.59
    potion
    -0.59
    fman
    -0.59
     Presence
    -0.58
    kamp
    -0.57
     Peninsula
    -0.57
    POSITIVE LOGITS
     sorts
    1.19
     kinds
    1.17
    ocating
    1.16
    igators
    0.95
    iances
    0.94
    usions
    0.94
    igator
    0.89
    uv
    0.84
    ogene
    0.83
    uding
    0.83
    Activations Density 0.114%

    No Known Activations