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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. 17609
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    Explanations

    phrases related to online interactions and engagements

    oai_token-act-pair · gpt-3.5-turbo

    actions related to user interactions or engagements, particularly in online contexts

    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
     shine
    -0.60
    egal
    -0.58
    velt
    -0.58
    anz
    -0.56
    rans
    -0.55
     Palestin
    -0.54
     pronounced
    -0.53
    elin
    -0.53
     reconstructed
    -0.52
     consolidation
    -0.52
    POSITIVE LOGITS
    taboola
    0.87
    wheel
    0.71
     guiActive
    0.71
    thumbnails
    0.66
     Cancel
    0.65
    assis
    0.65
    otton
    0.65
    river
    0.65
    animous
    0.64
    rect
    0.63
    Activations Density 0.019%

    No Known Activations