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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. 6-RES-JB
    11. 9750
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    Explanations

    names of people or surnames in a text passage

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     millenn
    -0.82
    ĸļ
    -0.71
    Þ
    -0.71
     carbohyd
    -0.71
    ß
    -0.69
     srf
    -0.68
    PDATE
    -0.68
    aditional
    -0.68
     eleph
    -0.64
     dilig
    -0.63
    POSITIVE LOGITS
     County
    0.94
    chuk
    0.84
    lein
    0.83
    's
    0.83
    iak
    0.82
     says
    0.82
     Associates
    0.81
    berger
    0.80
     admits
    0.79
    meyer
    0.78
    Activations Density 0.260%

    No Known Activations