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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. 6-RES-JB
    6. 74
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    INDEX
    Explanations

    triggering and emphatic words, often in capital letters

    oai_token-act-pair · gpt-3.5-turbo

    negations and affirmations in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipel
    -0.73
    adem
    -0.71
    ongyang
    -0.70
    ffen
    -0.69
    ãĥĥãĥĪ
    -0.69
    odore
    -0.67
    igration
    -0.66
    iasis
    -0.65
    atz
    -0.64
    iel
    -0.63
    POSITIVE LOGITS
    THING
    1.22
    ELY
    1.17
     THERE
    1.05
     MUCH
    1.02
    NOT
    1.01
    VER
    1.00
    YOU
    1.00
    TING
    0.99
    INESS
    0.99
    ICE
    0.99
    Activations Density 0.112%

    No Known Activations