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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. 3-RES-JB
    6. 1444
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    Explanations

    pairs of keywords associated with a technical or programming context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to operators in a programming or mathematical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -1.02
    BOOK
    -0.74
    USER
    -0.73
    forest
    -0.69
     Caucus
    -0.68
     Dakota
    -0.65
     Shal
    -0.63
    Charge
    -0.63
    staking
    -0.63
    light
    -0.61
    POSITIVE LOGITS
     oper
    1.07
    ateg
    1.04
    ational
    1.02
    atically
    1.01
    atic
    0.97
    boa
    0.91
    andi
    0.87
    estate
    0.87
    aton
    0.86
    arie
    0.84
    Activations Density 0.014%

    No Known Activations