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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. 7-RES-JB
    11. 7346
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    Explanations

    phrases related to dialogue in a conversation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicative of conversational exchanges or dialogue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GD
    -0.65
    usercontent
    -0.62
    agate
    -0.61
     ILCS
    -0.60
    iage
    -0.59
    isoft
    -0.57
     resil
    -0.57
     MFT
    -0.56
    ortmund
    -0.55
     BDS
    -0.55
    POSITIVE LOGITS
     paraph
    1.06
     quoting
    1.00
    ONSORED
    0.91
     quote
    0.89
     echoing
    0.86
     replied
    0.84
     referring
    0.84
     ital
    0.82
     echoed
    0.80
     quoted
    0.80
    Activations Density 0.910%

    No Known Activations