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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. 9-RES-JB
    11. 13722
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    Explanations

    phrases related to different types or categories

    oai_token-act-pair · gpt-3.5-turbo

    references to different types or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esses
    -0.80
    ĸļ
    -0.75
    Õ
    -0.75
    atu
    -0.74
    dan
    -0.72
    eks
    -0.72
    lund
    -0.72
     âĶľ
    -0.72
    oult
    -0.71
    Ô
    -0.71
    POSITIVE LOGITS
     equipment
    0.89
     weaponry
    0.86
     clothing
    0.86
     activity
    0.80
     terrain
    0.75
     communication
    0.75
     warfare
    0.75
     firearm
    0.74
     traveler
    0.74
     person
    0.74
    Activations Density 0.103%

    No Known Activations