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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. 4-RES-JB
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    Explanations

    mentions of Members of Parliament (MP) with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    references to Members of Parliament (MPs)

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

    No Comments

    Negative Logits
    xual
    -0.98
    condition
    -0.82
    tenance
    -0.72
    gender
    -0.71
    cyclopedia
    -0.71
    stal
    -0.71
    uran
    -0.69
    taboola
    -0.66
    ogen
    -0.66
    gers
    -0.66
    POSITIVE LOGITS
    rint
    1.03
     MP
    0.97
    LAB
    0.92
    rieve
    0.87
    MP
    0.82
    PLIC
    0.82
    RC
    0.81
    orters
    0.80
     MLA
    0.79
    ublic
    0.76
    Activations Density 0.007%

    No Known Activations