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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. 3708
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of notable individuals and their relationships or connections

    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
    tracking
    -0.73
     LEVEL
    -0.67
     corrective
    -0.67
     bottleneck
    -0.67
     unnecess
    -0.66
     cybersecurity
    -0.64
     grievance
    -0.64
     investig
    -0.64
     stadiums
    -0.63
     disciplinary
    -0.62
    POSITIVE LOGITS
    mie
    0.94
    abee
    0.84
    ilde
    0.84
    nie
    0.84
    abel
    0.82
    abeth
    0.78
     Jr
    0.78
    mi
    0.77
    ée
    0.76
    acha
    0.76
    Activations Density 0.146%

    No Known Activations