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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. 11-RES-JB
    11. 17135
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    Explanations

    phrases related to time

    oai_token-act-pair · gpt-3.5-turbo

    instances of location and temporal markers in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    odes
    -0.74
    eele
    -0.63
    prises
    -0.61
    izen
    -0.60
    othe
    -0.59
    xit
    -0.57
    :[
    -0.57
    èĢħ
    -0.57
    ?:
    -0.56
     Attributes
    -0.56
    POSITIVE LOGITS
     haha
    1.11
     myself
    0.95
     luckily
    0.94
     but
    0.92
     so
    0.92
     my
    0.87
     which
    0.86
     wondering
    0.82
    BUT
    0.81
     partly
    0.81
    Activations Density 0.323%

    No Known Activations