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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. 18534
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Recommend
    -0.77
     [+
    -0.64
    perties
    -0.64
    inez
    -0.62
    Refer
    -0.60
    External
    -0.60
     Areas
    -0.59
     [-
    -0.59
    Specific
    -0.58
    Contents
    -0.58
    POSITIVE LOGITS
     dwind
    0.70
     nightmares
    0.70
     ain
    0.68
     ooz
    0.67
     extraord
    0.67
     tucked
    0.66
    less
    0.65
     churn
    0.65
     vanished
    0.65
     haunted
    0.64
    Activations Density 1.080%

    No Known Activations