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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. 722
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    Explanations

    references to bees

    oai_token-act-pair · gpt-3.5-turbo

    references to bees and their environmental significance

    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
    ional
    -0.81
    ctica
    -0.77
    iability
    -0.77
     Thrust
    -0.72
    ãĥ¯
    -0.70
    ainer
    -0.70
    aneously
    -0.69
    aneous
    -0.69
     Gamb
    -0.69
    arity
    -0.68
    POSITIVE LOGITS
    keeping
    1.19
    keeper
    1.10
    bee
    1.10
    keepers
    1.08
     bee
    1.06
     Bee
    0.99
    bees
    0.98
    oard
    0.90
     bees
    0.90
     hive
    0.87
    Activations Density 0.015%

    No Known Activations