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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. 11-RES-JB
    11. 6349
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    INDEX
    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals, potentially key figures or characters within a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    anim
    -0.59
    clusion
    -0.57
    total
    -0.57
    izoph
    -0.57
    hibition
    -0.56
    Specific
    -0.56
    cedes
    -0.55
    drivers
    -0.55
     heaviest
    -0.54
    central
    -0.53
    POSITIVE LOGITS
     Jr
    1.49
     III
    1.23
     Sr
    1.23
     QC
    1.06
     aka
    1.03
     (@
    1.00
    zzi
    0.95
    Jr
    0.89
     (),
    0.88
     II
    0.87
    Activations Density 0.290%

    No Known Activations