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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. 14779
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    Explanations

    years related to historical events

    oai_token-act-pair · gpt-3.5-turbo

    references to dates, particularly in the form of years

    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
    orc
    -0.92
     regenerate
    -0.75
    enhagen
    -0.75
    mble
    -0.72
    etsk
    -0.72
    odynamic
    -0.72
    ovie
    -0.71
    aired
    -0.69
    lication
    -0.68
    odynam
    -0.68
    POSITIVE LOGITS
    06
    0.95
    76
    0.95
    08
    0.92
    03
    0.89
    87
    0.88
    05
    0.87
    00
    0.87
    89
    0.87
    rd
    0.86
    07
    0.85
    Activations Density 0.039%

    No Known Activations