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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. 1-RES-JB
    11. 21961
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    Explanations

    terms related to an increase or enhancement in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    the concept of increasing stakes or expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     HRC
    -0.83
     Shades
    -0.76
     Wanted
    -0.76
    wordpress
    -0.72
    window
    -0.72
    Assembly
    -0.71
    ï¸ı
    -0.70
    GROUP
    -0.68
    MAC
    -0.67
    KNOWN
    -0.67
    POSITIVE LOGITS
     ante
    1.52
    pole
    0.98
    fet
    0.85
    phrine
    0.85
    bell
    0.81
     juven
    0.76
    vent
    0.74
    pend
    0.74
    mun
    0.74
     pse
    0.73
    Activations Density 0.002%

    No Known Activations