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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. 0-RES-JB
    11. 16753
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to a specific model or series of devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Daredevil
    -0.74
     Infect
    -0.72
    Downloadha
    -0.68
     Pact
    -0.66
    aping
    -0.65
     ultraviolet
    -0.65
     Masters
    -0.64
     Enchant
    -0.64
    Shape
    -0.63
     enchantment
    -0.60
    POSITIVE LOGITS
     JR
    2.95
    JR
    2.05
     MV
    1.01
     SR
    0.87
    trak
    0.85
     JS
    0.82
     Nept
    0.81
     LR
    0.80
    fecture
    0.77
     JJ
    0.76
    Activations Density 0.016%

    No Known Activations