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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. 14039
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    Explanations

    terms related to news media and their coverage

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to mainstream media

    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
    cific
    -0.86
    asus
    -0.73
     Tome
    -0.73
    atoon
    -0.73
    otos
    -0.72
    haps
    -0.71
    ursed
    -0.71
    ombs
    -0.71
    tein
    -0.71
    usable
    -0.69
    POSITIVE LOGITS
     media
    1.04
     outlets
    0.96
    ing
    0.91
    ership
    0.90
    ization
    0.87
     wisdom
    0.84
    ed
    0.81
     outlet
    0.79
    isation
    0.78
     mainstream
    0.76
    Activations Density 0.058%

    No Known Activations