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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. 6-RES-JB
    11. 15147
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    Explanations

    sections titled "description" with varying degrees of relevance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "description" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ced
    -0.77
    oner
    -0.74
    nuts
    -0.73
    yrus
    -0.69
    igham
    -0.68
     scrimmage
    -0.67
    oned
    -0.66
    jer
    -0.65
    cess
    -0.64
    alos
    -0.64
    POSITIVE LOGITS
     thereof
    0.88
     description
    0.86
     descriptions
    0.77
     Languages
    0.74
    description
    0.74
    ript
    0.73
     synopsis
    0.73
    Description
    0.71
    witz
    0.71
    =""
    0.71
    Activations Density 0.040%

    No Known Activations