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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. 10-RES-JB
    6. 17778
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    INDEX
    Explanations

    names of people and organizations, perhaps related to news and events

    oai_token-act-pair · gpt-3.5-turbo

    unique identifiers or names associated with individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pollutants
    -0.79
     avoidance
    -0.78
     storefront
    -0.78
     invention
    -0.77
     paperback
    -0.76
     shelters
    -0.76
     circulation
    -0.76
     overload
    -0.76
     societies
    -0.75
     formation
    -0.74
    POSITIVE LOGITS
    Wilson
    1.38
    Thomas
    1.27
    Jr
    1.25
    Marie
    1.24
    William
    1.22
    Nich
    1.22
    ï¸ı
    1.22
    Connor
    1.20
    Brend
    1.19
    Ryan
    1.19
    Activations Density 0.219%

    No Known Activations