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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. 1-RES-JB
    11. 15836
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    Explanations

    phrases related to something being contributed to or influenced by another factor

    oai_token-act-pair · gpt-3.5-turbo

    references to partial causes or factors contributing to an outcome

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERY
    -0.98
    eers
    -0.82
    eer
    -0.82
     Wrest
    -0.82
    Trend
    -0.79
    Journal
    -0.73
    iry
    -0.70
    OSE
    -0.69
     clipboard
    -0.69
    Temperature
    -0.69
    POSITIVE LOGITS
     partly
    1.02
    odox
    0.88
     obscured
    0.87
     compensate
    0.79
     overshadowed
    0.78
    forth
    0.78
     cloudy
    0.78
     due
    0.78
     owing
    0.76
     compensated
    0.76
    Activations Density 0.006%

    No Known Activations