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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. 9-RES-JB
    11. 14256
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    INDEX
    Explanations

    locations and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names associated with locations and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •L9 resid features following 'and'

    No Comments

    Negative Logits
    aband
    -0.76
    adobe
    -0.69
    mud
    -0.65
    ename
    -0.64
    ixir
    -0.62
    ikarp
    -0.62
    rina
    -0.62
    lier
    -0.61
    ropolis
    -0.61
    teness
    -0.60
    POSITIVE LOGITS
     respectively
    2.07
     alike
    1.69
     eras
    1.20
     respective
    1.18
     administrations
    1.12
     combined
    1.11
     sectors
    1.11
     economies
    1.08
     industries
    1.06
     versions
    1.03
    Activations Density 0.608%

    No Known Activations