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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. 3-RES-JB
    11. 8716
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    Explanations

    specific individuals speaking in a conversation

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a male speaker or narrator

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anking
    -0.64
    rocket
    -0.63
    iries
    -0.60
     interfering
    -0.59
    iframe
    -0.59
    javascript
    -0.59
    due
    -0.58
     invading
    -0.57
     lockout
    -0.57
     Celebrity
    -0.57
    POSITIVE LOGITS
    'd
    0.97
    'll
    0.92
     wrote
    0.87
    mos
    0.82
     lamented
    0.81
    pherd
    0.79
    itage
    0.78
     tweeted
    0.77
    gemony
    0.77
    venants
    0.76
    Activations Density 0.214%

    No Known Activations