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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. 2-RES-JB
    11. 12069
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    Explanations

    time references in the format of hours and dates

    oai_token-act-pair · gpt-3.5-turbo

    numeric representations related to time or dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    insula
    -0.64
     Spiel
    -0.63
     Leban
    -0.61
     mosqu
    -0.61
     Tourism
    -0.59
     bleeding
    -0.59
    icone
    -0.59
    ulously
    -0.59
     shopping
    -0.58
    istry
    -0.58
    POSITIVE LOGITS
    134
    0.93
    307
    0.92
    014
    0.92
    285
    0.92
    498
    0.92
    659
    0.91
    669
    0.91
    42
    0.91
    018
    0.91
    284
    0.90
    Activations Density 0.169%

    No Known Activations