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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. 10-RES-JB
    11. 2259
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    Explanations

    measurements and units of distance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and geometry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    pmwiki
    -0.85
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    istically
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    Ctrl
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    BIP
    -0.65
     Canary
    -0.65
    isations
    -0.63
    ization
    -0.62
    ammy
    -0.62
    POSITIVE LOGITS
    rals
    1.37
    rogen
    1.35
    rative
    1.35
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    1.35
    rates
    1.35
    ral
    1.28
    rical
    1.27
    rians
    1.27
    rators
    1.26
    rees
    1.25
    Activations Density 0.068%

    No Known Activations