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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. 22738
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    Explanations

    phrases expressing personal feelings or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal feelings or comparisons

    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
    ircraft
    -0.86
    hiba
    -0.83
    abases
    -0.83
    alt
    -0.81
    ouched
    -0.76
    alez
    -0.75
    ells
    -0.71
    arry
    -0.70
    ourse
    -0.70
    arling
    -0.70
    POSITIVE LOGITS
    lier
    0.86
    liest
    0.73
     parity
    0.73
     calling
    0.71
     crap
    0.70
     picking
    0.67
     slipping
    0.66
     spitting
    0.66
    lihood
    0.65
    ¥µ
    0.64
    Activations Density 0.025%

    No Known Activations