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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. 6-RES-JB
    11. 12132
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    Explanations

    phrases related to assigning causes or reasons to specific situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to causation and attribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lite
    -0.80
    aspx
    -0.77
    ceans
    -0.69
    lake
    -0.68
    enegger
    -0.66
    corn
    -0.66
    ierre
    -0.63
    kat
    -0.63
    rawdownloadcloneembedreportprint
    -0.62
    estern
    -0.62
    POSITIVE LOGITS
     attribut
    0.93
     blame
    0.91
     Attribution
    0.79
    ribed
    0.78
     attribution
    0.75
     attributed
    0.71
    lled
    0.70
     charism
    0.69
    ithe
    0.69
    unct
    0.68
    Activations Density 0.022%

    No Known Activations