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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. 4632
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    Explanations

    mentions of specific locations or events

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

    phrases related to actions and movements, particularly in the context of walking

    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
     millenn
    -0.87
     citiz
    -0.76
     Chili
    -0.68
     Canaveral
    -0.68
     Finnish
    -0.68
     DeL
    -0.67
     vice
    -0.66
     culinary
    -0.66
     Duc
    -0.64
     Swedish
    -0.64
    POSITIVE LOGITS
    through
    1.60
    ins
    1.46
    off
    1.46
    offs
    1.41
    down
    1.40
    ahead
    1.39
    in
    1.39
    your
    1.39
    up
    1.39
    around
    1.39
    Activations Density 0.052%

    No Known Activations