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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. 3131
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    Explanations

    expressions of dialogue, particularly those indicating emphasis or strong feelings

    oai_token-act-pair · gpt-3.5-turbo

    speak about individuals or groups in a derogatory or condescending manner

    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
     Seym
    -0.75
     mathemat
    -0.69
     tabloid
    -0.68
     limb
    -0.68
     ivory
    -0.68
     seiz
    -0.67
     Gardens
    -0.67
     amusement
    -0.66
     metic
    -0.66
     tasting
    -0.66
    POSITIVE LOGITS
    ï¸ı
    1.06
    rd
    0.99
    lean
    0.95
    resent
    0.93
    deg
    0.89
    vernment
    0.89
    ï¸
    0.85
    PB
    0.84
    audi
    0.84
    ãĥĥãĥī
    0.84
    Activations Density 0.030%

    No Known Activations