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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. 12-RES-JB
    11. 2988
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    Explanations

    structured data formats, specifically focusing on JSON objects and attributes

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    structured data representations and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reconstruction
    -0.80
     reconstruction
    -0.76
     demolition
    -0.74
     oun
    -0.74
     knowing
    -0.70
     911
    -0.70
     Aires
    -0.70
     bitters
    -0.70
     hardened
    -0.70
     ����
    -0.70
    POSITIVE LOGITS
    title
    1.75
    description
    1.73
    name
    1.71
    username
    1.59
    href
    1.58
    url
    1.58
    duration
    1.58
    type
    1.55
    date
    1.54
    address
    1.53
    Activations Density 0.086%

    No Known Activations