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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. 11-RES-JB
    11. 14365
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    Explanations

    words related to shifting attention and focus

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to attention and focus shifts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nia
    -0.66
     Crate
    -0.62
    Condition
    -0.61
     Condition
    -0.61
     Kirin
    -0.60
    stood
    -0.60
    condition
    -0.57
     Gleaming
    -0.57
    orum
    -0.56
     Jas
    -0.54
    POSITIVE LOGITS
     toward
    1.17
     towards
    1.07
     inward
    1.02
     elsewhere
    1.01
     squarely
    0.91
     gears
    0.91
     to
    0.90
     away
    0.86
     entirely
    0.85
     east
    0.83
    Activations Density 0.150%

    No Known Activations