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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
    11. 3540
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    INDEX
    Explanations

    references to users

    oai_token-act-pair · gpt-3.5-turbo

    mentions of users and their engagement or feedback

    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
    hovah
    -0.77
     Baptist
    -0.71
     Scand
    -0.69
     Hurricanes
    -0.69
    erella
    -0.69
    tackle
    -0.67
    inished
    -0.64
     Corridor
    -0.64
     Buckingham
    -0.64
     unfocusedRange
    -0.63
    POSITIVE LOGITS
     interface
    0.95
     interfaces
    0.92
    interface
    0.88
    atical
    0.85
    base
    0.78
     interaction
    0.78
     contro
    0.77
    Interface
    0.76
     upgr
    0.75
     Interface
    0.72
    Activations Density 0.023%

    No Known Activations