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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. 6-RES-JB
    11. 3609
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    Explanations

    references to the Warner Bros. movie studio

    oai_token-act-pair · gpt-3.5-turbo

    references to the Warner Bros. company

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omorphic
    -0.86
    ombo
    -0.80
    oral
    -0.80
    PsyNetMessage
    -0.74
    omorph
    -0.73
    xual
    -0.73
    phis
    -0.73
    anwhile
    -0.72
    sal
    -0.71
    oration
    -0.71
    POSITIVE LOGITS
     Bros
    1.30
     Brothers
    1.00
     Warner
    0.86
     Cable
    0.85
    stown
    0.77
    riors
    0.77
    geon
    0.74
    sonian
    0.74
    Film
    0.73
    frey
    0.70
    Activations Density 0.016%

    No Known Activations