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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. 4999
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    Explanations

    explanations and clarifications in written text

    oai_token-act-pair · gpt-3.5-turbo

    verbs that indicate clarification or explanation

    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
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    No Comments

    Negative Logits
    soever
    -0.70
    brance
    -0.68
    iac
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     ILCS
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    lite
    -0.65
    gone
    -0.64
    à¦
    -0.63
    fore
    -0.62
    ISA
    -0.62
    MAS
    -0.61
    POSITIVE LOGITS
    WER
    0.77
     afterwards
    0.75
     afterward
    0.75
     bluntly
    0.71
     Tuesday
    0.69
     Wednesday
    0.68
    rists
    0.67
     NX
    0.67
     yesterday
    0.66
     emphatically
    0.66
    Activations Density 0.150%

    No Known Activations