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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. 4-RES-JB
    11. 1336
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    Explanations

    phrases related to progress or advancement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress or advancement

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

    No Comments

    Negative Logits
    ãĥĥ
    -0.72
    ãĥ´
    -0.69
    ãĥĩãĤ£
    -0.65
    ãĥĥãĥī
    -0.63
    farm
    -0.62
    luaj
    -0.61
     scraps
    -0.61
    ãĥĥãĤ¯
    -0.60
    coni
    -0.60
    ãĥīãĥ©ãĤ´ãĥ³
    -0.58
    POSITIVE LOGITS
    udic
    0.78
    odan
    0.76
     steps
    0.74
     sidx
    0.74
    æĸ¹
    0.69
     stride
    0.69
    steps
    0.68
    stration
    0.68
     distingu
    0.67
    adder
    0.67
    Activations Density 0.108%

    No Known Activations