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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. 7-RES-JB
    11. 11469
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    Explanations

    words or phrases related to origins or sources

    oai_token-act-pair · gpt-3.5-turbo

    references to origins or sources of ideas, things, or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĥª
    -0.67
    frames
    -0.67
    İĭ
    -0.66
    ²
    -0.63
    fram
    -0.63
    CRIPTION
    -0.62
    ĺħ
    -0.62
    çĶ°
    -0.62
    ¦
    -0.62
    ļ
    -0.60
    POSITIVE LOGITS
     whence
    1.06
     wherever
    0.79
     inside
    0.79
     underneath
    0.77
     somewhere
    0.76
     abroad
    0.74
     afar
    0.73
     anyway
    0.73
    ulhu
    0.71
     atop
    0.69
    Activations Density 0.013%

    No Known Activations