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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. 9251
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    Explanations

    words or phrases related to intense activity or excitement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to chaotic or intense situations

    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
    mine
    -0.78
    benef
    -0.77
    ĻĤ
    -0.75
    angan
    -0.72
    arer
    -0.71
    arers
    -0.71
    gemony
    -0.70
    nants
    -0.70
    adra
    -0.69
    ndum
    -0.69
    POSITIVE LOGITS
     flurry
    0.95
     frenzy
    0.93
    cffff
    0.89
     juices
    0.81
    cade
    0.80
     fren
    0.79
    ively
    0.77
    wcs
    0.76
    ual
    0.75
    unciation
    0.75
    Activations Density 0.020%

    No Known Activations