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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. 10-RES-JB
    11. 2300
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    Explanations

    phrases comparing or contrasting different entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of comparison or contrast between subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.68
    lift
    -0.67
    igham
    -0.65
    aeda
    -0.64
    amaz
    -0.63
    ¬¼
    -0.62
    ablishment
    -0.61
    iously
    -0.61
    Deal
    -0.61
     exting
    -0.60
    POSITIVE LOGITS
     however
    1.19
     which
    1.01
     whose
    0.96
     there
    0.93
     namely
    0.88
     though
    0.87
     whom
    0.84
     moreover
    0.83
     meanwhile
    0.82
     wherein
    0.82
    Activations Density 0.140%

    No Known Activations