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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. 8-RES-JB
    11. 6373
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    Explanations

    locations or specific points in time

    oai_token-act-pair · gpt-3.5-turbo

    instances of time references in the context of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.65
    tip
    -0.63
    accompanied
    -0.62
    Eva
    -0.62
    ãĥ©ãĥ³
    -0.59
    tal
    -0.58
     Converted
    -0.58
    fan
    -0.57
     underdog
    -0.56
     Travels
    -0.56
    POSITIVE LOGITS
     anymore
    1.76
     nor
    1.69
     slightest
    1.28
     whatsoever
    1.24
    nor
    1.14
     any
    1.08
     anywhere
    1.00
     either
    0.98
     Nor
    0.96
     anybody
    0.93
    Activations Density 0.482%

    No Known Activations