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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. 4-RES-JB
    11. 9440
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    Explanations

    names of people or locations

    oai_token-act-pair · gpt-3.5-turbo

    plural nouns

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

    No Comments

    Negative Logits
     Leilan
    -0.79
     compar
    -0.68
    ãĥ¼ãĥĨ
    -0.67
     disadvant
    -0.65
     subcontract
    -0.64
     hemor
    -0.60
     Seym
    -0.59
     Moroc
    -0.59
     thous
    -0.59
     pse
    -0.59
    POSITIVE LOGITS
    ources
    0.87
    ued
    0.85
    wered
    0.85
    anta
    0.83
    ouls
    0.83
    ayers
    0.83
    essions
    0.82
    uez
    0.82
    ideshow
    0.81
    imm
    0.79
    Activations Density 0.129%

    No Known Activations