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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. 2803
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    Explanations

    proper nouns related to individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    matically
    -0.75
    rified
    -0.74
    ty
    -0.72
    wolves
    -0.72
    igree
    -0.71
    omorphic
    -0.71
    TY
    -0.70
    MAS
    -0.69
    working
    -0.68
    Ö¼
    -0.68
    POSITIVE LOGITS
    ñ
    1.17
    uthor
    1.12
    issance
    1.07
    qua
    1.05
    ppa
    1.01
    emon
    1.01
    ña
    1.00
    ÅŁ
    0.99
    ÅĤ
    0.96
    velength
    0.94
    Activations Density 0.147%

    No Known Activations