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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. 3216
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    Explanations

    words related to events or outcomes that are perceived as certain to happen

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating inevitability or unavoidable outcomes

    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
    tein
    -0.85
    busters
    -0.75
     Sent
    -0.71
     Millennium
    -0.70
    ials
    -0.66
    ingham
    -0.66
     Protector
    -0.66
     Authorization
    -0.64
    rik
    -0.62
     supervisors
    -0.61
    POSITIVE LOGITS
     converge
    0.73
     subsid
    0.72
     degrade
    0.71
    xual
    0.71
     equate
    0.71
     grav
    0.70
     destro
    0.70
     dissip
    0.68
     contam
    0.68
     rely
    0.68
    Activations Density 0.018%

    No Known Activations