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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. 2710
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    Explanations

    words related to recognition or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "recognize" and its variations, indicating a focus on acknowledgment or validation

    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
    quer
    -0.72
    ieri
    -0.72
    stead
    -0.71
    quin
    -0.70
    olit
    -0.70
    achus
    -0.68
    sters
    -0.64
    etry
    -0.64
    ranging
    -0.63
    ionage
    -0.63
    POSITIVE LOGITS
    ibly
    0.92
    ledged
    0.92
    ibility
    0.83
    enance
    0.81
    ances
    0.72
     landmarks
    0.71
     distinctions
    0.68
     shortcomings
    0.66
     Scotia
    0.66
     deficiencies
    0.66
    Activations Density 0.043%

    No Known Activations