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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. 3-RES-JB
    11. 5553
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    INDEX
    Explanations

    exciting events or things

    oai_token-act-pair · gpt-3.5-turbo

    expressions conveying excitement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.90
    avis
    -0.81
    nery
    -0.76
    xia
    -0.70
    arer
    -0.69
    ada
    -0.69
    ele
    -0.68
    say
    -0.68
    pel
    -0.66
    uts
    -0.64
    POSITIVE LOGITS
    ly
    0.84
     exciting
    0.82
    GGGGGGGG
    0.76
    rament
    0.75
     new
    0.74
     developments
    0.73
    terday
    0.73
     highs
    0.72
     discoveries
    0.70
     newsp
    0.70
    Activations Density 0.013%

    No Known Activations