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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. 8-RES-JB
    11. 10368
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    Explanations

    mentions of specific names or handles on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly names associated with various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Takeru
    -0.71
     tract
    -0.67
    iris
    -0.66
     disadvantage
    -0.63
    heric
    -0.63
     shaping
    -0.62
     barrier
    -0.62
     siph
    -0.61
     tampering
    -0.61
     conceal
    -0.61
    POSITIVE LOGITS
     (@
    1.46
     @
    1.04
    ($
    1.01
    (&
    0.94
     (/
    0.91
     (%
    0.87
     ($
    0.84
     (#
    0.84
     (_
    0.84
     "@
    0.84
    Activations Density 0.049%

    No Known Activations