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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. 20715
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical locations or areas

    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
     Compliance
    -0.69
    Brave
    -0.64
    ActionCode
    -0.64
    ThumbnailImage
    -0.63
     Temper
    -0.61
    imity
    -0.60
     Cla
    -0.60
    ò
    -0.59
     Guid
    -0.59
    PO
    -0.58
    POSITIVE LOGITS
     converge
    0.82
    waves
    0.82
     periphery
    0.79
     spectrum
    0.77
    heast
    0.75
     boundaries
    0.72
     region
    0.70
     rooft
    0.70
     borders
    0.69
     continuum
    0.69
    Activations Density 0.175%

    No Known Activations