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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. 3894
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    Explanations

    personal anecdotes or reflections

    oai_token-act-pair · gpt-3.5-turbo

    personal experiences and reflections on complex tasks or events

    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
    apo
    -0.70
    hai
    -0.66
    Attack
    -0.62
    oir
    -0.61
    Fight
    -0.61
    risk
    -0.60
     havoc
    -0.59
    VP
    -0.59
    quished
    -0.59
     disruptive
    -0.59
    POSITIVE LOGITS
     finally
    1.42
     concluded
    1.22
     settled
    1.10
     conclude
    1.07
     decided
    1.04
     concludes
    1.00
     ultimately
    0.99
     eventually
    0.95
     narrowed
    0.94
     unanimously
    0.94
    Activations Density 0.304%

    No Known Activations