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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. 7-RES-JB
    11. 19004
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.76
     Kubrick
    -0.72
     Stronghold
    -0.71
     Weir
    -0.66
    Jr
    -0.66
     trout
    -0.66
    GoldMagikarp
    -0.64
     biomass
    -0.64
     Rouge
    -0.63
     wool
    -0.62
    POSITIVE LOGITS
    vertis
    1.36
    mittedly
    1.23
    vantage
    1.19
    vertising
    1.19
    elaide
    1.18
    olescent
    1.18
    vance
    1.16
    olesc
    1.16
    ept
    1.15
    vertisements
    1.13
    Activations Density 0.025%

    No Known Activations