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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
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    Explanations

    proper nouns related to people, especially the name "Teddy"

    oai_token-act-pair · gpt-3.5-turbo

    references to the character Teddy and expressions of hopelessness

    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
    anwhile
    -1.11
    akening
    -0.93
    isf
    -0.90
    iths
    -0.86
    hemy
    -0.85
    otaur
    -0.85
    umn
    -0.85
    icer
    -0.82
    isson
    -0.81
    psey
    -0.81
    POSITIVE LOGITS
    bery
    0.97
     Teddy
    0.88
     Yankee
    0.84
     Roosevelt
    0.78
    Feel
    0.75
    Filename
    0.74
     Romantic
    0.73
    ãĤ©
    0.70
    amaz
    0.70
     Bridgewater
    0.69
    Activations Density 0.022%

    No Known Activations