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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. 0-RES-JB
    11. 20491
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    Explanations

    proper nouns related to a specific entity or person named "Eng"

    oai_token-act-pair · gpt-3.5-turbo

    words related to engineering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bigfoot
    -0.69
    »Ĵ
    -0.68
    iness
    -0.68
     kosher
    -0.66
     sunscreen
    -0.66
     fringe
    -0.64
     masked
    -0.64
     bare
    -0.64
     draconian
    -0.64
     snatch
    -0.63
    POSITIVE LOGITS
     Eng
    3.97
    Eng
    2.82
     ENG
    1.90
     eng
    1.72
    eng
    1.70
     Engine
    1.41
    ENG
    1.34
     engagement
    1.34
     Engel
    1.30
     Ing
    1.15
    Activations Density 0.014%

    No Known Activations