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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. 3-RES-JB
    11. 5028
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    Explanations

    information about the content of certain text sources

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "contain" or its variations, indicating the presence of specific items or substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urai
    -0.78
     Sabha
    -0.71
     athlet
    -0.67
    laus
    -0.64
     axis
    -0.63
     Seym
    -0.63
    economic
    -0.63
    apo
    -0.61
    uni
    -0.61
    doms
    -0.61
    POSITIVE LOGITS
    ences
    0.86
    encies
    0.81
    xual
    0.79
     Contains
    0.79
    iveness
    0.77
    ãĤ¼ãĤ¦ãĤ¹
    0.77
    ãĤ£
    0.76
    vier
    0.75
    LECT
    0.73
     contains
    0.72
    Activations Density 0.020%

    No Known Activations