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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. 23680
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    Explanations

    exciting and engaging content or events

    oai_token-act-pair · gpt-3.5-turbo

    words related to enthusiasm and excitement

    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
    ©¶æ
    -0.93
    avis
    -0.87
    haps
    -0.75
    xia
    -0.74
    nery
    -0.72
    avia
    -0.71
    iciency
    -0.68
    uts
    -0.67
    sil
    -0.66
    elf
    -0.65
    POSITIVE LOGITS
     exciting
    0.87
    ly
    0.84
    GGGGGGGG
    0.76
    terday
    0.75
    NESS
    0.72
    rament
    0.70
     tid
    0.70
    quished
    0.69
     new
    0.68
     newsp
    0.66
    Activations Density 0.013%

    No Known Activations