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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. 2-RES-JB
    11. 11470
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    Explanations

    phrases related to cooking techniques

    oai_token-act-pair · gpt-3.5-turbo

    references to types of pulled pork

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingen
    -0.75
     Herz
    -0.75
     Tac
    -0.73
     IST
    -0.72
    Å
    -0.72
    ciation
    -0.71
     Tuc
    -0.67
    kt
    -0.66
     Ort
    -0.65
     Schn
    -0.65
    POSITIVE LOGITS
    IUM
    0.79
     watered
    0.69
     regrets
    0.68
    rians
    0.66
    avier
    0.64
    ãĤ«
    0.63
    ungle
    0.62
    atered
    0.62
    exempt
    0.61
    ãĤ¦ãĤ¹
    0.59
    Activations Density 0.000%

    No Known Activations