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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. 5-RES-JB
    6. 5526
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    INDEX
    Explanations

    different types of objects, concepts, or categories

    oai_token-act-pair · gpt-3.5-turbo

    phrases that categorize types of something, particularly in a list format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.78
    ajor
    -0.76
    esses
    -0.70
    Ô
    -0.69
    lists
    -0.68
    ÅĤ
    -0.68
    hra
    -0.68
    arcity
    -0.67
    pots
    -0.67
    heid
    -0.66
    POSITIVE LOGITS
     activity
    0.72
     weaponry
    0.71
     goods
    0.71
     specialty
    0.71
     accommodation
    0.70
     guiActiveUnfocused
    0.69
     medicine
    0.69
     fare
    0.68
     equipment
    0.68
     organism
    0.67
    Activations Density 0.080%

    No Known Activations