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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. 8125
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    Explanations

    words related to strength and empowering terms

    oai_token-act-pair · gpt-3.5-turbo

    a specific person's name frequently mentioned in the text

    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
    omez
    -0.75
     visitation
    -0.70
     Defenders
    -0.70
    ruciating
    -0.65
     GEAR
    -0.64
    IBLE
    -0.64
    doms
    -0.63
    ITNESS
    -0.62
    é¾
    -0.62
    ãĥīãĥ©
    -0.60
    POSITIVE LOGITS
    stre
    1.30
    wn
    1.09
    ng
    0.93
     Stre
    0.93
    tsky
    0.91
    tti
    0.91
    sheet
    0.90
    Stre
    0.88
    chn
    0.82
    akable
    0.81
    Activations Density 0.013%

    No Known Activations