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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. 14688
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    Explanations

    phrases related to personal growth and self-improvement

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions related to change and personal responsibility

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ascus
    -0.81
    uly
    -0.79
     reception
    -0.78
    thal
    -0.73
    anni
    -0.73
     intended
    -0.73
    abouts
    -0.72
    onga
    -0.71
    umerous
    -0.71
    uese
    -0.70
    POSITIVE LOGITS
     Sometimes
    1.15
     Especially
    1.13
     Whether
    1.13
     And
    1.12
     Whatever
    1.11
     Nothing
    1.08
     Unless
    1.07
     Without
    1.07
     Knowing
    1.05
     Otherwise
    1.05
    Activations Density 0.623%

    No Known Activations