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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. 13557
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    Explanations

    mentions of the term "Mis" with varying degrees of closeness or accuracy

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the term "Mis" and variations thereof

    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
     Guardians
    -0.74
     exerc
    -0.74
     Defenders
    -0.69
    istics
    -0.67
     Gladiator
    -0.66
     Schwarzenegger
    -0.65
     directors
    -0.65
    INGS
    -0.64
     lions
    -0.63
    ysis
    -0.61
    POSITIVE LOGITS
    cellaneous
    1.25
    fortune
    1.22
    ogyn
    1.16
    chief
    1.12
    aka
    1.03
    bah
    1.01
    placed
    0.97
    beh
    0.95
    guided
    0.94
    appropri
    0.93
    Activations Density 0.028%

    No Known Activations