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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12708
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    Explanations

    descriptions of clothing items and accessories worn by individuals

    oai_token-act-pair · gpt-3.5-turbo

    articles of clothing and their descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Focus
    -0.78
    ollow
    -0.70
    Interest
    -0.69
    Lost
    -0.68
    ivities
    -0.68
    issions
    -0.67
    Apps
    -0.66
    users
    -0.66
     Nuclear
    -0.64
    otten
    -0.64
    POSITIVE LOGITS
     adorned
    1.14
     resembling
    1.00
     fashioned
    0.97
     draped
    0.95
     flanked
    0.91
     decorated
    0.89
     embro
    0.86
     reminiscent
    0.85
     wielding
    0.83
     styled
    0.82
    Activations Density 0.149%

    No Known Activations