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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. 11-RES-JB
    11. 18752
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    Explanations

    specific mention of the number of items or works of art

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to art collections and their values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    twitch
    -0.85
    pressure
    -0.82
     rollout
    -0.78
    uclear
    -0.74
    axis
    -0.72
     twitch
    -0.72
    Mbps
    -0.71
     Codec
    -0.71
     Mbps
    -0.71
     ISP
    -0.71
    POSITIVE LOGITS
     antique
    1.55
    abilia
    1.50
     treasures
    1.49
     collector
    1.46
     collectors
    1.45
     vintage
    1.34
     paintings
    1.34
     priceless
    1.33
    intage
    1.33
     souven
    1.31
    Activations Density 0.759%

    No Known Activations