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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. 7-RES-JB
    6. 4777
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    INDEX
    Explanations

    affirmations and expressions of certainty or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    adverbs or emphasis words

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amins
    -0.71
    robe
    -0.64
    unts
    -0.63
    rencies
    -0.63
     ILCS
    -0.61
    byter
    -0.60
    soDeliveryDate
    -0.60
    nea
    -0.60
    igans
    -0.60
    amina
    -0.59
    POSITIVE LOGITS
     whereby
    0.91
    of
    0.77
     arises
    0.67
    about
    0.66
    between
    0.64
     regarding
    0.63
    uristic
    0.63
    erie
    0.62
    that
    0.62
    Ī
    0.62
    Activations Density 0.554%

    No Known Activations