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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. 11-RES-JB
    11. 5292
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    Explanations

    terms related to hydration or chemical compounds containing "hydro-" prefixes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hydration and water

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.66
     silence
    -0.65
     UE
    -0.60
     Osw
    -0.59
     OM
    -0.59
     Fior
    -0.58
     survivor
    -0.58
     derog
    -0.57
     blank
    -0.57
     Keen
    -0.56
    POSITIVE LOGITS
    rolog
    1.52
    rogen
    1.47
    rology
    1.44
    ration
    1.44
    roph
    1.37
    rol
    1.34
    rox
    1.34
    rop
    1.28
    roc
    1.28
    rod
    1.26
    Activations Density 0.043%

    No Known Activations