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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. 2-RES-JB
    11. 11076
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    Explanations

    mentions of social media interactions, particularly 'liking' posts or content

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Like" used to indicate social media engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     istg
    -0.82
    duct
    -0.78
    è¦ļéĨĴ
    -0.75
    rift
    -0.74
    duction
    -0.71
    ranean
    -0.70
    Americ
    -0.69
    ells
    -0.69
    iets
    -0.69
    tein
    -0.68
    POSITIVE LOGITS
    lihood
    1.82
    liest
    1.11
    lier
    1.07
    minded
    0.98
     minded
    0.91
    liness
    0.90
    ly
    0.81
     wildfire
    0.76
     ours
    0.75
     Us
    0.71
    Activations Density 0.042%

    No Known Activations