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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5184
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    Explanations

    sentences related to hypothetical scenarios or future possibilities

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases questioning future outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lance
    -0.67
    enegger
    -0.66
    agonists
    -0.63
    visors
    -0.63
    quartered
    -0.63
    rers
    -0.63
    ivered
    -0.62
    ournals
    -0.62
    inel
    -0.61
     ceased
    -0.61
    POSITIVE LOGITS
    ãĤµ
    0.71
    ?:
    0.69
    çIJ
    0.65
    ?,
    0.63
    /$
    0.62
     Syria
    0.61
     RTX
    0.59
    åŃ
    0.59
    piring
    0.59
    actly
    0.58
    Activations Density 0.272%

    No Known Activations