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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. 4182
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    Explanations

    words related to historical events, particularly those after a war or election

    oai_token-act-pair · gpt-3.5-turbo

    references to post-war events and 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
    rss
    -0.77
    ,,,,
    -0.77
    ometimes
    -0.75
    Offline
    -0.72
    âĺ
    -0.70
    north
    -0.70
    VPN
    -0.70
    click
    -0.67
    Above
    -0.66
    AND
    -0.65
    POSITIVE LOGITS
     era
    0.83
    ocalyptic
    0.83
     generations
    0.80
     iterations
    0.77
    liction
    0.74
     arrivals
    0.74
     sunset
    0.70
     decre
    0.70
    umatic
    0.68
    ulkan
    0.68
    Activations Density 0.070%

    No Known Activations