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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. 0-RES-JB
    11. 16829
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    Explanations

    technical terms related to organization and planning, particularly in the context of managing tasks and resources

    oai_token-act-pair · gpt-3.5-turbo

    terms related to logistics and organizational challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     toast
    -0.78
     pronounced
    -0.74
     Donation
    -0.73
    oba
    -0.73
    ulet
    -0.68
    avage
    -0.68
    utra
    -0.68
    overe
    -0.67
     concess
    -0.65
    eon
    -0.64
    POSITIVE LOGITS
     logistics
    1.76
    ipl
    1.44
     gangs
    1.31
    ionage
    1.28
    ismo
    1.28
     trenches
    1.26
    antry
    1.22
     logistical
    1.20
     graffiti
    1.09
     improvised
    1.04
    Activations Density 0.050%

    No Known Activations