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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. 5907
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    lists of supplies or materials

    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
     unfairly
    -0.90
    itism
    -0.84
    iday
    -0.81
     scandals
    -0.78
    ationally
    -0.77
     regress
    -0.74
     phenomena
    -0.74
     abruptly
    -0.73
    ients
    -0.72
    ô
    -0.70
    POSITIVE LOGITS
     scissors
    1.11
     charger
    1.09
     compass
    1.02
     laptop
    1.00
     fridge
    1.00
    epad
    1.00
     flashlight
    0.99
     wallet
    0.97
     blender
    0.95
     assorted
    0.95
    Activations Density 0.485%

    No Known Activations