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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. 14140
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    Explanations

    timestamps such as "late on" or "early" followed by a particular day of the week

    oai_token-act-pair · gpt-3.5-turbo

    temporal references indicating the time of events, particularly focusing on late and early indicators

    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
    Reviewer
    -0.70
    esome
    -0.68
    ories
    -0.61
     Dwell
    -0.60
    ittal
    -0.59
    Percent
    -0.56
    ikk
    -0.54
    =-=-=-=-=-=-=-=-
    -0.54
    Bet
    -0.53
    anty
    -0.52
    POSITIVE LOGITS
    etheless
    1.02
     Friday
    0.94
     Thursday
    0.93
     afternoon
    0.92
     Tuesday
    0.92
     Wednesday
    0.92
     Monday
    0.92
    aneously
    0.92
    morning
    0.91
     morning
    0.87
    Activations Density 0.055%

    No Known Activations