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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. 16143
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    Explanations

    phrases related to the process of appointing individuals to positions of responsibility or authority

    oai_token-act-pair · gpt-3.5-turbo

    terms related to appointments and nominations

    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
    λ
    -0.78
    Ïģ
    -0.76
    fal
    -0.73
    patch
    -0.71
    pling
    -0.70
    ramid
    -0.70
    pack
    -0.69
    cock
    -0.67
    isoft
    -0.67
    α
    -0.66
    POSITIVE LOGITS
    ees
    1.03
     appointments
    0.95
     directors
    0.85
    ointed
    0.81
     appoint
    0.81
    ments
    0.79
     secretaries
    0.76
     judges
    0.75
     Directors
    0.74
     chaired
    0.74
    Activations Density 0.057%

    No Known Activations