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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. 7271
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    Explanations

    proper nouns representing names of individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with specific characters or individuals in narratives

    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
    orescent
    -1.06
    ership
    -0.95
    olulu
    -0.84
    ipt
    -0.81
    ĪĴ
    -0.79
    unal
    -0.78
    psey
    -0.76
     conspicuous
    -0.75
    phies
    -0.74
    oard
    -0.73
    POSITIVE LOGITS
     Savage
    1.12
     Carlson
    0.82
     Scotia
    0.79
    avage
    0.78
     Unleashed
    0.77
    sson
    0.74
     Royale
    0.73
     Worlds
    0.73
     Beasts
    0.72
     DRAG
    0.72
    Activations Density 0.007%

    No Known Activations