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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. 7-RES-JB
    11. 13981
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    Explanations

    proper nouns, specifically names of places and individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.83
    undown
    -0.76
     suspic
    -0.71
    miah
    -0.67
    ©¶æ
    -0.67
    buquerque
    -0.66
    pmwiki
    -0.66
    FML
    -0.65
     Azerb
    -0.64
     Ambrose
    -0.64
    POSITIVE LOGITS
     alike
    1.37
     respectively
    1.03
     versa
    0.83
     striped
    0.73
     lad
    0.68
    axter
    0.66
     plates
    0.63
     sectors
    0.63
     Productions
    0.63
     boards
    0.62
    Activations Density 0.412%

    No Known Activations