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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. 1-RES-JB
    11. 13410
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    Explanations

    words related to positive experiences or things perceived as excellent

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enthusiasm or admiration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Mesh
    -0.79
    arenthood
    -0.72
    Clar
    -0.71
    avis
    -0.70
    PT
    -0.70
    AUT
    -0.69
    NetMessage
    -0.68
     Breed
    -0.67
    mere
    -0.67
    occup
    -0.66
    POSITIVE LOGITS
     awesome
    1.08
     Awesome
    0.92
     badass
    0.79
     fun
    0.78
    ernaut
    0.76
     teamwork
    0.75
    nesday
    0.74
     juicy
    0.74
     fabulous
    0.73
     amazing
    0.72
    Activations Density 0.013%

    No Known Activations