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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. 9-RES-JB
    11. 14811
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    Explanations

    proper nouns related to educational institutions or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to societal structures and issues related to minority groups and public policy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oslov
    -0.68
    NetMessage
    -0.67
    stan
    -0.63
     colleagues
    -0.63
    olia
    -0.61
    thia
    -0.60
     Marxism
    -0.58
    uala
    -0.58
    oS
    -0.57
     Stories
    -0.57
    POSITIVE LOGITS
    osphere
    0.98
    ariat
    0.86
     microbiome
    0.84
     economy
    0.83
     populace
    0.82
     workforce
    0.81
     treadmill
    0.78
     alphabet
    0.78
    same
    0.78
    agame
    0.77
    Activations Density 1.037%

    No Known Activations