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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. 23404
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    INDEX
    Explanations

    specific rankings or positions, such as "No. 1 job," "No. 4 overall selection," or "No. 31 overall pick."

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings or positions, particularly in a competitive context

    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
    ãĤ¹ãĥĪ
    -0.77
    sym
    -0.73
    ournals
    -0.71
    TPPStreamerBot
    -0.69
     4096
    -0.68
    iances
    -0.65
    kens
    -0.63
    uras
    -0.62
    ventions
    -0.62
    juries
    -0.61
    POSITIVE LOGITS
     contender
    1.05
     seed
    1.04
     ranked
    1.04
     overall
    0.99
     ranking
    0.99
     spot
    0.96
     rated
    0.92
    ranked
    0.90
     bidder
    0.83
     priority
    0.79
    Activations Density 0.040%

    No Known Activations