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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. 12-RES-JB
    11. 3868
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    Explanations

    keywords related to birds, specifically ravens, and their behavior

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to birds and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     DPR
    -0.99
     Fiat
    -0.88
     Nexus
    -0.87
     Mori
    -0.85
    Drug
    -0.84
    Nic
    -0.83
     Nicaragua
    -0.81
     Yug
    -0.80
     Teg
    -0.80
     mmol
    -0.80
    POSITIVE LOGITS
     birds
    2.21
     bird
    2.20
     pige
    2.12
     feathers
    2.00
     pigeon
    1.96
    Bird
    1.95
     Birds
    1.89
     Bird
    1.83
    birds
    1.82
     poultry
    1.79
    Activations Density 0.281%

    No Known Activations