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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 14292
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    Explanations

    phrases related to the location or person named "Gran"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Gran" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lovecraft
    -0.62
     Laugh
    -0.62
     BMC
    -0.62
    åº
    -0.61
    ORT
    -0.60
    GMT
    -0.60
    yers
    -0.60
     Gutenberg
    -0.60
     Buffett
    -0.59
    suit
    -0.59
    POSITIVE LOGITS
    vik
    0.96
    ular
    0.95
    ules
    0.94
    igans
    0.92
    ularity
    0.92
    vine
    0.84
    adier
    0.84
    iosity
    0.84
    adan
    0.82
    agraph
    0.81
    Activations Density 0.017%

    No Known Activations