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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of politicians

    oai_token-act-pair · gpt-3.5-turbo

    mentions of politicians and their actions or influences

    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
    urious
    -0.70
    gged
    -0.70
    uran
    -0.68
    wered
    -0.66
    uras
    -0.65
     Moor
    -0.64
    Sharp
    -0.64
    urse
    -0.64
    lights
    -0.63
     Condition
    -0.63
    POSITIVE LOGITS
    clinton
    0.94
     correctness
    0.84
     appoint
    0.75
    ervatives
    0.73
    hip
    0.73
    icians
    0.72
     aspir
    0.70
    hips
    0.69
     elected
    0.69
    jriwal
    0.69
    Activations Density 0.018%

    No Known Activations