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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. 1738
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    Explanations

    proper nouns denoting individuals

    oai_token-act-pair · gpt-3.5-turbo

    the verb "was" in various contexts

    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
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    No Comments

    Negative Logits
    otic
    -0.70
     Chel
    -0.67
    rouse
    -0.64
     resonance
    -0.64
     Sabha
    -0.62
     Dragonbound
    -0.62
    ridges
    -0.61
    atories
    -0.60
    eering
    -0.60
     Scotia
    -0.59
    POSITIVE LOGITS
    hers
    1.03
    nt
    0.91
    hes
    0.88
    peria
    0.84
    wolves
    0.82
    aii
    0.81
    abi
    0.78
    n
    0.76
    nit
    0.76
    aston
    0.75
    Activations Density 0.018%

    No Known Activations