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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. 3-RES-JB
    11. 13569
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    Explanations

    descriptions related to animal species, especially bears

    oai_token-act-pair · gpt-3.5-turbo

    references to political bipartisanship and themes of struggle or conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itic
    -0.88
    awar
    -0.74
    UE
    -0.73
     Chamberlain
    -0.72
    esting
    -0.70
    ove
    -0.69
    reddits
    -0.67
     Destination
    -0.66
    rooms
    -0.66
    à¨
    -0.66
    POSITIVE LOGITS
     streng
    0.92
     bip
    0.90
    earance
    0.84
    artisan
    0.83
     charact
    0.82
    ngth
    0.81
    ¥ŀ
    0.81
     gobl
    0.80
     carbohyd
    0.79
     mathemat
    0.78
    Activations Density 0.016%

    No Known Activations