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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. 10-RES-JB
    11. 16648
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    Explanations

    adjectives describing the quality of things

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotions and human experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "))
    -0.82
     Regarding
    -0.79
     Whilst
    -0.78
     [/
    -0.78
     Overall
    -0.74
    Currently
    -0.73
    "}
    -0.73
    Overall
    -0.73
    Due
    -0.73
    tains
    -0.73
    POSITIVE LOGITS
     exhilar
    0.83
     thrill
    0.80
     triumph
    0.78
     roar
    0.78
     shrug
    0.77
     gle
    0.74
     humili
    0.72
     consolation
    0.71
     demoral
    0.69
     plaint
    0.69
    Activations Density 1.071%

    No Known Activations