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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. 0-RES-JB
    11. 9781
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    Explanations

    phrases related to policies or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to economic systems and proposals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hom
    -0.71
     radi
    -0.70
     coffee
    -0.67
    iles
    -0.66
     poll
    -0.64
     cass
    -0.64
     pie
    -0.63
     pal
    -0.62
     variety
    -0.61
     Palm
    -0.61
    POSITIVE LOGITS
    Under
    3.44
     Under
    2.24
    under
    2.13
     UNDER
    1.75
    Over
    1.39
    Through
    1.30
    Und
    1.27
     under
    1.26
    ccording
    1.24
    Between
    1.23
    Activations Density 0.013%

    No Known Activations