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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. 7234
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    INDEX
    Explanations

    words related to a specific geometric shape, particularly the word "pent"

    oai_token-act-pair · gpt-3.5-turbo

    references to "pentathlon" and related terms

    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
     Hitman
    -0.68
     Malf
    -0.68
     Carbuncle
    -0.66
     Milo
    -0.66
     Mahar
    -0.64
    itability
    -0.64
    ãģĦ
    -0.63
    CTV
    -0.63
    ISSION
    -0.63
     Referred
    -0.63
    POSITIVE LOGITS
     pent
    1.06
    iple
    1.01
    agon
    1.00
    etr
    0.98
    inct
    0.94
    raph
    0.88
    ium
    0.85
    agons
    0.85
    urous
    0.84
    iate
    0.84
    Activations Density 0.020%

    No Known Activations