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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. 22858
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    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    temporal markers indicating specific dates and times

    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
     Flavoring
    -0.71
     willingness
    -0.70
    isner
    -0.64
    bent
    -0.63
     pse
    -0.63
    tro
    -0.62
    who
    -0.61
    idine
    -0.61
     unwillingness
    -0.60
     sanity
    -0.60
    POSITIVE LOGITS
     indoors
    0.76
     PDT
    0.76
     atop
    0.73
     alongside
    0.69
    GMT
    0.67
     with
    0.66
     flanked
    0.66
     Billboard
    0.66
     amidst
    0.64
     through
    0.63
    Activations Density 0.302%

    No Known Activations