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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. 11-RES-JB
    11. 14318
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    Explanations

    terms related to formal requests or actions taken by specific groups or individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to proposals, demands, and calls for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     amen
    -0.60
    ETHOD
    -0.59
    urity
    -0.59
    âĶĢâĶĢâĶĢâĶĢ
    -0.58
     descriptor
    -0.58
    Appearance
    -0.57
    status
    -0.56
     rinse
    -0.56
    tick
    -0.55
    washer
    -0.55
    POSITIVE LOGITS
     by
    0.79
     ranging
    0.78
     hatched
    0.77
     aimed
    0.75
     underway
    0.75
     undertaken
    0.74
     to
    0.73
    acan
    0.72
     initiated
    0.72
    ayers
    0.70
    Activations Density 0.141%

    No Known Activations