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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 2029
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    Explanations

    phrases related to quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    nouns and terms related to items, quantities, or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ALLY
    -0.69
    nee
    -0.67
    ctor
    -0.66
    rick
    -0.61
     Smile
    -0.61
    riad
    -0.59
    Harris
    -0.59
    Honest
    -0.56
    ãĤ¶
    -0.55
    Hum
    -0.55
    POSITIVE LOGITS
    poons
    1.13
    mith
    1.05
    pread
    0.96
    paces
    0.94
     themselves
    0.94
    hare
    0.93
    hips
    0.90
    ystem
    0.86
    isters
    0.84
    avers
    0.83
    Activations Density 0.472%

    No Known Activations