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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. 8903
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    Explanations

    mentions of the car manufacturer "GM"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the General Motors (GM) company

    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
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -1.08
    quez
    -0.77
    SourceFile
    -0.77
    lies
    -0.75
    issance
    -0.72
    ï¸
    -0.68
    landish
    -0.67
    liness
    -0.64
    mble
    -0.64
    ly
    -0.64
    POSITIVE LOGITS
    OT
    0.96
    YC
    0.88
    ADE
    0.84
    UA
    0.83
    OV
    0.83
    APH
    0.83
    BA
    0.82
    ARDS
    0.82
    ail
    0.82
    ERG
    0.80
    Activations Density 0.033%

    No Known Activations