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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. 23134
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    Explanations

    words related to bees or bee-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to bees and their related activities

    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
    ctica
    -0.78
    ional
    -0.73
    ially
    -0.71
    ications
    -0.69
     Doyle
    -0.67
     Gamb
    -0.66
     Rez
    -0.66
    ãĥ¯
    -0.66
    osure
    -0.65
    aneous
    -0.65
    POSITIVE LOGITS
    bee
    1.16
    keeping
    1.15
     bee
    1.09
    keeper
    1.06
    keepers
    1.06
    bees
    1.03
     larvae
    0.99
     bees
    0.97
     hive
    0.92
     lar
    0.91
    Activations Density 0.060%

    No Known Activations