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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. 7-RES-JB
    11. 18929
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    Explanations

    numeric values or percentages

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments expressed with percentages or statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¯
    -0.72
    ãĥ£
    -0.72
    atche
    -0.67
     Cassidy
    -0.66
    achu
    -0.66
     Collider
    -0.65
     Duo
    -0.63
     AVG
    -0.63
     Aether
    -0.63
     Achievements
    -0.62
    POSITIVE LOGITS
    seven
    1.25
    eight
    1.23
    six
    1.22
    five
    1.20
    percent
    1.16
    nine
    1.15
    four
    1.14
    two
    1.13
    year
    1.13
    second
    1.13
    Activations Density 0.060%

    No Known Activations