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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. 2-RES-JB
    6. 7
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    INDEX
    Explanations

    words related to the name "Fe" or possibly "Fez"

    oai_token-act-pair · gpt-3.5-turbo

    references to the element "Fe" or related scientific terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the syllable "Fe"

    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.83
    worthy
    -0.67
     Overs
    -0.67
    DOWN
    -0.66
    appropriately
    -0.66
     eleph
    -0.64
     Zoom
    -0.63
    565
    -0.63
     Protector
    -0.63
     ANGEL
    -0.63
    POSITIVE LOGITS
    plin
    0.95
    uth
    0.92
    Fe
    0.90
    esville
    0.90
    ulner
    0.89
    vered
    0.88
    cking
    0.88
    uer
    0.86
     Fe
    0.86
    acebook
    0.85
    Activations Density 0.007%

    No Known Activations