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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. 6-RES-JB
    11. 732
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    Explanations

    references to formal organizational entities, particularly city councils and legal contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "oun"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORE
    -0.73
    ANC
    -0.69
    RGB
    -0.68
     Interstellar
    -0.65
    âĸijâĸij
    -0.64
    >>>>
    -0.64
     Nemesis
    -0.62
     Kubrick
    -0.61
     Valentine
    -0.61
    HAEL
    -0.60
    POSITIVE LOGITS
    oun
    1.11
    ciation
    1.07
    stant
    1.04
    mers
    1.04
    cers
    1.03
    nel
    1.02
    cil
    1.00
    onsense
    0.98
    emouth
    0.96
    spe
    0.96
    Activations Density 0.020%

    No Known Activations