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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 4637
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    Explanations

    the word "program" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific programs

    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
    ween
    -0.70
    xious
    -0.69
    vable
    -0.69
    ushima
    -0.68
     dilig
    -0.67
     Fiat
    -0.67
    picking
    -0.65
    ailable
    -0.65
    CLASSIFIED
    -0.64
    vol
    -0.63
    POSITIVE LOGITS
    mable
    1.56
    matic
    1.32
    matically
    1.30
    mers
    0.99
     skelet
    0.90
    atical
    0.86
    atically
    0.81
    eers
    0.80
    program
    0.80
    manship
    0.79
    Activations Density 0.023%

    No Known Activations