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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. 18094
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    Explanations

    numbers and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data represented in various formats

    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
    ItemImage
    -0.79
    Lago
    -0.68
     conduc
    -0.67
    erity
    -0.65
    creen
    -0.63
    Types
    -0.62
    lov
    -0.61
    ercise
    -0.60
    cerning
    -0.60
    holding
    -0.59
    POSITIVE LOGITS
    xff
    1.14
    xd
    0.91
    x
    0.90
    xe
    0.90
    xc
    0.83
    xb
    0.82
     0
    0.78
    xa
    0.75
    uden
    0.74
    MQ
    0.73
    Activations Density 0.026%

    No Known Activations