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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. 9-RES-JB
    11. 23371
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    Explanations

    phrases related to resilience and resolution

    oai_token-act-pair · gpt-3.5-turbo

    words related to resurrection and renewal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Shepherd
    -0.71
     Pell
    -0.68
     Fenrir
    -0.65
     Pist
    -0.64
     Warn
    -0.62
     Diver
    -0.62
     Ancients
    -0.60
     Startup
    -0.59
     Dickinson
    -0.59
     Passenger
    -0.58
    POSITIVE LOGITS
    ptions
    0.98
    dule
    0.96
    ction
    0.92
    ptive
    0.91
    ption
    0.91
    pta
    0.90
    cific
    0.90
    itutes
    0.88
    ignty
    0.85
    ctive
    0.85
    Activations Density 0.079%

    No Known Activations