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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. 374
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    Explanations

    phrases related to special occasions or events, possibly with a focus on remembrance or honor

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and concepts associated with death and remembrance

    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
    iHUD
    -0.73
    ¬¼
    -0.71
    romancer
    -0.71
    eenth
    -0.71
    Ħ¢
    -0.66
     canal
    -0.65
     peninsula
    -0.65
     controller
    -0.63
     fertil
    -0.61
     magician
    -0.61
    POSITIVE LOGITS
    RIP
    1.33
     RIP
    1.08
    ETF
    0.79
    Tube
    0.79
    encrypted
    0.77
    ENCE
    0.76
    LEY
    0.75
    ITAL
    0.74
    die
    0.72
    士
    0.72
    Activations Density 0.021%

    No Known Activations