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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. 4-RES-JB
    11. 19590
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    Explanations

    phrases related to political events or movements

    oai_token-act-pair · gpt-3.5-turbo

    words related to contest or competitive events

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

    No Comments

    Negative Logits
    NOR
    -0.76
    WARD
    -0.70
     Mast
    -0.67
     guiActiveUnfocused
    -0.65
    Hug
    -0.61
     Continued
    -0.60
    Allows
    -0.60
     FIGHT
    -0.59
    Attempts
    -0.59
    MAP
    -0.58
    POSITIVE LOGITS
    auc
    1.27
    oup
    1.05
    umbers
    1.01
    upuncture
    1.00
    ilities
    0.93
    ous
    0.89
    ulum
    0.89
    aucus
    0.87
    utonium
    0.85
    elight
    0.85
    Activations Density 0.007%

    No Known Activations