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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. 9-RES-JB
    11. 17657
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    Explanations

    words related to actions or efforts aimed at reducing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to reducing negative environmental or societal impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.83
    wikipedia
    -0.78
    DragonMagazine
    -0.76
    aired
    -0.73
    mire
    -0.72
    leans
    -0.69
    landish
    -0.64
    cade
    -0.64
    fort
    -0.63
    liga
    -0.63
    POSITIVE LOGITS
     reliance
    1.25
     dependence
    1.21
     unnecessary
    1.11
     friction
    1.11
     costs
    1.09
     wasteful
    1.09
     disparities
    1.07
     congestion
    1.05
     inequalities
    1.04
     losses
    1.04
    Activations Density 0.093%

    No Known Activations