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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. 2-RES-JB
    11. 23102
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    INDEX
    Explanations

    time-related references or events mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific points in time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.99
    avorite
    -0.98
    ramid
    -0.87
    alach
    -0.84
    riad
    -0.84
    otto
    -0.73
    uilt
    -0.73
    eanor
    -0.71
    racted
    -0.71
    artisan
    -0.70
    POSITIVE LOGITS
    frames
    1.15
    frame
    0.87
     periods
    0.86
     consuming
    0.81
     elapsed
    0.80
    borne
    0.79
     frame
    0.78
    days
    0.77
    zone
    0.74
     frames
    0.72
    Activations Density 0.112%

    No Known Activations