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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. 3-RES-JB
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    INDEX
    Explanations

    mentions of attitudes, especially negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "attitude" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.83
    ÄŁ
    -0.78
     Printed
    -0.77
    icles
    -0.77
    idden
    -0.77
    icle
    -0.74
    bleacher
    -0.72
    odes
    -0.70
     Vide
    -0.69
    gone
    -0.69
    POSITIVE LOGITS
     attitude
    1.28
     towards
    0.98
     toward
    0.95
     attitudes
    0.93
     Towards
    0.84
     stance
    0.81
    yip
    0.79
    uation
    0.75
     disposition
    0.74
    hovah
    0.73
    Activations Density 0.013%

    No Known Activations