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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. 10-RES-JB
    6. 23108
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    INDEX
    Explanations

    names of places or events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or titles related to pop culture or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.68
     admitting
    -0.65
     related
    -0.64
     oneself
    -0.61
     mechanically
    -0.61
     approving
    -0.60
     reporting
    -0.60
     offline
    -0.59
     centrally
    -0.58
     unfavorable
    -0.58
    POSITIVE LOGITS
    agogue
    0.90
    isine
    0.88
    tones
    0.86
    orum
    0.85
    astery
    0.84
     Orchestra
    0.83
    istries
    0.82
     Remix
    0.82
    inery
    0.80
    adas
    0.79
    Activations Density 0.507%

    No Known Activations