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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. 23042
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    Explanations

    windows mentioned in a physical context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "window" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    avez
    -0.87
    ghan
    -0.78
     recomm
    -0.74
    currency
    -0.74
     Haram
    -0.69
    aska
    -0.67
    zin
    -0.64
    arus
    -0.62
    doms
    -0.62
    icit
    -0.62
    POSITIVE LOGITS
     sill
    1.10
     pane
    1.05
    glass
    0.94
     wip
    0.88
     tint
    0.87
     windows
    0.84
    ills
    0.83
    bars
    0.81
    ill
    0.81
    acular
    0.81
    Activations Density 0.036%

    No Known Activations