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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. 10-RES-JB
    11. 6937
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    Explanations

    statements or questions expressing uncertainty or skepticism

    oai_token-act-pair · gpt-3.5-turbo

    expressions of incredulity or rhetorical questions

    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
    catentry
    -0.74
    displayText
    -0.69
    earchers
    -0.68
    ussen
    -0.65
    ourse
    -0.65
    cture
    -0.64
    atform
    -0.64
    ollower
    -0.63
    ItemImage
    -0.63
    Initially
    -0.62
    POSITIVE LOGITS
     fuckin
    1.22
     goddamn
    1.20
     ya
    1.18
     dudes
    1.14
     fucking
    1.13
     godd
    1.11
     shit
    1.11
     ain
    1.04
     badass
    1.02
     fuck
    1.02
    Activations Density 1.027%

    No Known Activations