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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 19129
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    Explanations

    numerical values perceived as significant or important

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and their representations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ItemImage
    -0.87
    liga
    -0.74
    lehem
    -0.70
    cerning
    -0.69
    ItemThumbnailImage
    -0.68
    ercise
    -0.67
    league
    -0.65
    holding
    -0.64
    Lago
    -0.63
    £ı
    -0.62
    POSITIVE LOGITS
    xff
    1.06
     0
    1.01
    xd
    0.89
    xe
    0.86
    x
    0.85
    xb
    0.80
    °
    0.77
    xc
    0.77
    xa
    0.73
    644
    0.71
    Activations Density 0.015%

    No Known Activations