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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. 7464
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    Explanations

    names or proper nouns related to political and community figures

    oai_token-act-pair · gpt-3.5-turbo

    instances of proper nouns and specific names or titles

    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
    REDACTED
    -0.65
     negro
    -0.57
     QC
    -0.54
    :-
    -0.50
     FF
    -0.50
     myster
    -0.50
    ç«
    -0.50
    ©
    -0.49
     moot
    -0.49
     manifold
    -0.48
    POSITIVE LOGITS
     apologized
    0.63
    Enlarge
    0.58
    cohol
    0.55
    rouse
    0.54
    awaru
    0.54
    packing
    0.52
    "}],"
    0.52
     apologize
    0.51
    arnaev
    0.51
     Healthy
    0.51
    Activations Density 1.078%

    No Known Activations