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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. 4731
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    Explanations

    positive and impactful words or phrases related to personal growth, desire for justice, and pursuit of excellence

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to the pursuit of happiness and justice

    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
    haul
    -0.80
    rug
    -0.79
    enium
    -0.73
    iatus
    -0.71
    intend
    -0.71
    ahs
    -0.71
    leased
    -0.69
    racuse
    -0.68
    udget
    -0.68
    quarter
    -0.67
    POSITIVE LOGITS
     outwe
    1.24
     intrinsic
    1.06
     infinitely
    1.02
     analogous
    1.02
     intrinsically
    1.01
     insepar
    1.00
     intolerable
    1.00
     antit
    0.97
     inherently
    0.97
     irrelevant
    0.96
    Activations Density 0.462%

    No Known Activations