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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. 11-RES-JB
    6. 8600
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    INDEX
    Explanations

    verbs related to packing and organizing belongings

    oai_token-act-pair · gpt-3.5-turbo

    actions related to packing and preparing for a journey or move

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ="#
    -0.75
     indirectly
    -0.69
     inconsistency
    -0.68
     repeated
    -0.67
    indu
    -0.67
    ĸļ
    -0.67
     rarely
    -0.66
    unknown
    -0.65
     unexplained
    -0.65
    omal
    -0.64
    POSITIVE LOGITS
     ready
    1.28
     bags
    1.12
    Ready
    1.09
     packing
    1.04
     preparations
    1.02
     prepared
    1.00
     belongings
    0.99
     downstairs
    0.97
     prepare
    0.97
    ready
    0.97
    Activations Density 0.520%

    No Known Activations