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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. 6-RES-JB
    11. 1465
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    Explanations

    phrases related to reasons or causes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express uncertainty or questioning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    oons
    -0.69
    sbm
    -0.68
     sts
    -0.68
    users
    -0.66
    ECT
    -0.66
     Files
    -0.65
    enegger
    -0.65
    aughs
    -0.65
    ires
    -0.64
     VIDEOS
    -0.64
    POSITIVE LOGITS
     somew
    1.10
     else
    0.78
     semblance
    0.73
     goblin
    0.69
     halfway
    0.68
     stranger
    0.67
     deity
    0.67
     afterlife
    0.66
    legged
    0.66
     somet
    0.66
    Activations Density 0.098%

    No Known Activations