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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. 10839
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    Explanations

    Twitter handles with high levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Twitter and related social media interactions

    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
    antics
    -0.69
    endish
    -0.69
    itution
    -0.65
    anca
    -0.64
    erella
    -0.62
    avorite
    -0.62
    onics
    -0.62
    pher
    -0.62
    vernment
    -0.62
    worth
    -0.60
    POSITIVE LOGITS
    NOW
    0.71
     (@
    0.67
     HERE
    0.66
     srfAttach
    0.65
     Username
    0.63
     Topic
    0.60
    GUI
    0.60
    Stay
    0.59
    SourceFile
    0.59
    Follow
    0.58
    Activations Density 0.037%

    No Known Activations