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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. 17836
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to emergencies and critical situations

    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
    renches
    -0.81
    ooks
    -0.72
     moderates
    -0.72
     Sections
    -0.71
    ells
    -0.71
    facts
    -0.71
    bats
    -0.71
    thumbnails
    -0.71
    agles
    -0.70
     pillars
    -0.70
    POSITIVE LOGITS
     involving
    0.94
     occurring
    0.89
    sequence
    0.85
     somewhere
    0.83
     sequence
    0.83
     scenario
    0.82
     or
    0.81
     situation
    0.79
     cycle
    0.78
     spree
    0.78
    Activations Density 0.422%

    No Known Activations