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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. 8-RES-JB
    11. 20122
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    Explanations

    phrases requesting or demanding specific actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that" indicating requests or demands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĦ
    -0.81
    ãĤ§
    -0.78
    ãĤ´ãĥ³
    -0.66
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
    fman
    -0.64
    STAR
    -0.64
    姫
    -0.63
    ãĤ¨ãĥ«
    -0.62
    ãĥ¬
    -0.62
    ãĥīãĥ©
    -0.61
    POSITIVE LOGITS
    soever
    0.88
    chers
    0.78
     whoever
    0.71
     visitors
    0.71
     travelers
    0.70
     we
    0.70
     recipients
    0.70
     users
    0.69
     borrowers
    0.68
     everyone
    0.67
    Activations Density 0.115%

    No Known Activations