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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. 8-RES-JB
    11. 10075
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    INDEX
    Explanations

    specific time indicators like months and years

    oai_token-act-pair · gpt-3.5-turbo

    timestamps or temporal phrases indicating recent events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eries
    -0.65
     dwell
    -0.62
    rouse
    -0.62
     VIDEOS
    -0.62
     comr
    -0.62
     Narr
    -0.60
    blers
    -0.59
    Reviewer
    -0.58
     gib
    -0.58
    knit
    -0.58
    POSITIVE LOGITS
     afternoon
    0.91
     deadline
    0.79
     morning
    0.77
     announcing
    0.76
    morning
    0.73
     evening
    0.72
     agreeing
    0.71
     prompting
    0.71
     amid
    0.70
     confirming
    0.70
    Activations Density 0.239%

    No Known Activations