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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. 8698
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    Explanations

    phrases related to actions or events that should happen or be done before a specific point in time

    oai_token-act-pair · gpt-3.5-turbo

    the word "before," indicating a focus on temporal sequence or precedence

    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
    geist
    -0.71
    aez
    -0.68
    Force
    -0.68
    atana
    -0.67
    venture
    -0.65
    ingle
    -0.64
    atic
    -0.62
    erville
    -0.61
    bold
    -0.61
    bern
    -0.61
    POSITIVE LOGITS
     sunrise
    1.00
     midnight
    0.94
     dawn
    0.94
    hand
    0.93
     noon
    0.92
     proceeding
    0.87
     embark
    0.85
     sunset
    0.85
     realizing
    0.82
     expiration
    0.81
    Activations Density 0.064%

    No Known Activations