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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. 6-RES-JB
    11. 18914
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    Explanations

    time indicators, particularly in the early morning

    oai_token-act-pair · gpt-3.5-turbo

    references to time, specifically regarding the morning hours and AM/PM notations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ollah
    -0.91
     behav
    -0.75
    onduct
    -0.63
     resemb
    -0.62
     covari
    -0.60
     acknowled
    -0.59
    ificantly
    -0.59
    zek
    -0.59
    char
    -0.58
    ever
    -0.58
    POSITIVE LOGITS
     EDT
    1.13
     EST
    1.12
     PDT
    1.11
     PST
    1.10
    endment
    1.02
     CET
    0.98
     onwards
    0.92
     IST
    0.89
     CST
    0.89
     GMT
    0.88
    Activations Density 0.031%

    No Known Activations