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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. 7-RES-JB
    11. 5029
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    INDEX
    Explanations

    references to LEGO products and activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of LEGO and its associated products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.81
    ntil
    -0.77
    pressed
    -0.74
    pid
    -0.74
    sweet
    -0.73
    pher
    -0.72
    aram
    -0.71
    ysis
    -0.71
    bern
    -0.71
    robe
    -0.68
    POSITIVE LOGITS
     Dimensions
    0.97
     bricks
    0.91
     Ideas
    0.90
     LEGO
    0.83
     Lego
    0.81
    ®
    0.78
    USS
    0.77
     Batman
    0.75
    SpaceEngineers
    0.74
     Motorsport
    0.73
    Activations Density 0.053%

    No Known Activations