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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. 3259
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    Explanations

    text related to political parties and candidates

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

    expressions related to political agendas and critiques

    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
    ãĤ´ãĥ³
    -0.75
    furt
    -0.72
    ocular
    -0.70
    ĸļ
    -0.70
    VERTISEMENT
    -0.70
    earchers
    -0.69
    EngineDebug
    -0.67
    anguage
    -0.66
    eri
    -0.63
    ãĥŁ
    -0.63
    POSITIVE LOGITS
     Hillary
    1.15
    Hillary
    1.08
     Bernie
    1.07
     democr
    1.05
     Dems
    1.05
     nominate
    0.99
     Democrats
    0.97
     Republicans
    0.97
     TRUMP
    0.96
     electing
    0.96
    Activations Density 0.649%

    No Known Activations