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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. 9-RES-JB
    11. 5700
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    Explanations

    phrases referring to uncertainty or speculation about the future

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express uncertainty about future outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kar
    -0.67
    clerosis
    -0.66
    checked
    -0.62
    ocent
    -0.59
    alysed
    -0.57
    mys
    -0.56
     doubts
    -0.55
     Vil
    -0.55
    ifted
    -0.55
    kept
    -0.54
    POSITIVE LOGITS
     entail
    1.15
     fare
    0.95
     accomplish
    0.88
     be
    0.88
     incent
    0.83
     achieve
    0.82
     unfold
    0.81
     react
    0.76
     consist
    0.75
    dos
    0.74
    Activations Density 0.121%

    No Known Activations