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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. 9-RES-JB
    11. 13887
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    Explanations

    phrases related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific names and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    taboola
    -0.79
     faculties
    -0.76
    drawn
    -0.68
    ãĥ£
    -0.65
    accompan
    -0.65
    inventoryQuantity
    -0.63
    natureconservancy
    -0.61
    TAG
    -0.60
    Preview
    -0.58
    URES
    -0.58
    POSITIVE LOGITS
    abase
    0.95
    utsche
    0.91
     Lange
    0.72
    shire
    0.71
    icate
    0.69
    kson
    0.68
    byn
    0.67
    apolis
    0.66
    osaurs
    0.66
    PLIC
    0.65
    Activations Density 0.308%

    No Known Activations