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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. 596
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    Explanations

    the syllable "irm"

    oai_token-act-pair · gpt-4-turbo

    phrases related to medical treatment or healthcare

    oai_token-act-pair · gpt-3.5-turbo

    terms related to confirmation and affirmation

    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
     è£ıç
    -0.77
    å¹
    -0.72
    å¥
    -0.72
    REDACTED
    -0.67
    Rus
    -0.67
     Rasm
    -0.66
     includ
    -0.64
    ç«
    -0.64
    çĦ
    -0.63
    NetMessage
    -0.62
    POSITIVE LOGITS
    irm
    1.60
    ament
    1.16
    irms
    1.13
    etric
    1.03
    atively
    0.98
    ities
    0.97
    irmation
    0.95
    irmed
    0.94
    aton
    0.93
    ative
    0.91
    Activations Density 0.005%

    No Known Activations