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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. 6468
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    Explanations

    phrases related to specific details and contexts within a narrative

    oai_token-act-pair · gpt-3.5-turbo

    elements related to decision-making and authority figures

    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
     southeastern
    -0.60
     Comprehensive
    -0.59
    ashington
    -0.57
     southwestern
    -0.57
     critically
    -0.56
     Pruitt
    -0.55
     leveraging
    -0.54
    ocumented
    -0.54
     divest
    -0.54
     Infrastructure
    -0.54
    POSITIVE LOGITS
    xual
    0.81
    nin
    0.68
    ĨĴ
    0.67
    !!!
    0.65
    ...?
    0.65
    !!"
    0.64
    girl
    0.64
    HT
    0.63
     tho
    0.63
    ITNESS
    0.62
    Activations Density 1.856%

    No Known Activations