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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. 9971
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    INDEX
    Explanations

    financial numbers and percentages mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and statistical data

    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
    ãģĹ
    -0.62
    ãģĻ
    -0.59
    hello
    -0.55
    "))
    -0.54
    POSE
    -0.51
    VIDEO
    -0.51
    ãĥ¡
    -0.50
    RO
    -0.49
     doping
    -0.49
    WATCH
    -0.49
    POSITIVE LOGITS
    sylv
    0.65
     analogous
    0.59
     meanwhile
    0.58
     similarly
    0.57
     modeled
    0.57
     likewise
    0.55
    SourceFile
    0.55
    erd
    0.55
    matic
    0.54
     pioneered
    0.53
    Activations Density 2.313%

    No Known Activations