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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. 9-RES-JB
    11. 13596
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    Explanations

    phrases related to recurring yearly events

    oai_token-act-pair · gpt-3.5-turbo

    references to annual events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wright
    -0.84
    holes
    -0.84
    agra
    -0.72
    enton
    -0.71
    UTF
    -0.71
    enes
    -0.70
    hammad
    -0.70
    uve
    -0.68
    cells
    -0.68
    Pg
    -0.67
    POSITIVE LOGITS
    ized
    1.23
    ised
    0.95
     occurrence
    0.88
    ãĥ£
    0.84
    ization
    0.82
     appropriation
    0.82
     pilgrimage
    0.79
     Sunshine
    0.78
     renewal
    0.77
     touring
    0.75
    Activations Density 0.035%

    No Known Activations