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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. 2729
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    Explanations

    references to personal experiences or observations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to personal experiences or observations

    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
     EntityItem
    -0.92
    assic
    -0.85
    udget
    -0.75
    Solar
    -0.74
     Ships
    -0.73
    pleted
    -0.72
    mercial
    -0.71
    Downloadha
    -0.71
     Manufacturer
    -0.70
    jet
    -0.70
    POSITIVE LOGITS
     attitudes
    0.95
     etiquette
    0.95
     sentiment
    0.94
     aversion
    0.94
     tendency
    0.93
     resentment
    0.92
     backlash
    0.92
     discour
    0.91
     norms
    0.91
     reluctance
    0.91
    Activations Density 1.262%

    No Known Activations