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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. 3-RES-JB
    11. 270
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    Explanations

    phrases describing the qualities or aspects of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that highlight quality or characteristics of something

    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
     ILCS
    -0.71
    zbollah
    -0.70
    DAQ
    -0.70
    hao
    -0.67
     caut
    -0.66
    KK
    -0.65
     reperto
    -0.65
    CIA
    -0.65
    culosis
    -0.63
    Ô
    -0.62
    POSITIVE LOGITS
     sorts
    1.11
     course
    0.88
     humanity
    0.86
     ours
    0.84
    icial
    0.80
     mankind
    0.76
     humankind
    0.76
     life
    0.73
    enance
    0.72
     doom
    0.71
    Activations Density 0.656%

    No Known Activations