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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. 6-RES-JB
    11. 7486
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    Explanations

    dates or points in time within sentences

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods or temporal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.70
    .-
    -0.67
    Car
    -0.66
    <?
    -0.66
    CW
    -0.64
    reddits
    -0.63
    mil
    -0.60
    âĻ¥
    -0.60
    jp
    -0.60
    ards
    -0.59
    POSITIVE LOGITS
     reckoning
    0.92
    onement
    0.87
     arrival
    0.83
    uberty
    0.78
     totality
    0.75
     filming
    0.75
    rison
    0.74
     onset
    0.73
     hostilities
    0.72
     completion
    0.70
    Activations Density 0.046%

    No Known Activations