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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. 1-RES-JB
    11. 20097
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    the word "with" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ¥µ
    -0.76
    DEV
    -0.69
     rodents
    -0.66
    aepernick
    -0.65
    expression
    -0.65
     surg
    -0.64
     depress
    -0.63
    berman
    -0.62
    gging
    -0.62
     lucky
    -0.62
    POSITIVE LOGITS
    ith
    1.37
    otle
    1.06
    iths
    1.00
    ium
    0.97
    ieth
    0.92
    yll
    0.92
    iop
    0.87
    ACA
    0.82
    ofer
    0.81
    ITH
    0.80
    Activations Density 0.009%

    No Known Activations