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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. 14337
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    INDEX
    Explanations

    words related to challenges, obstacles, or problems

    oai_token-act-pair · gpt-3.5-turbo

    any mention of difficulty levels or challenges in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ortium
    -0.75
    oak
    -0.72
    ta
    -0.69
    rum
    -0.67
    gone
    -0.66
    rone
    -0.66
    eer
    -0.65
    zsche
    -0.65
    rium
    -0.65
    uber
    -0.64
    POSITIVE LOGITS
    iculty
    1.06
    icult
    1.00
    ioned
    0.91
    hooting
    0.82
    olving
    0.77
     Flavoring
    0.73
    poke
    0.71
     adjustment
    0.69
     Modes
    0.67
     solved
    0.67
    Activations Density 0.033%

    No Known Activations