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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
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    phrases related to advocating, pushing for, or pressing for actions or changes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to advocacy and pressure from political actors

    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
    OVA
    -0.72
    opsis
    -0.68
    ateur
    -0.67
     âĸĪ
    -0.64
    /-
    -0.63
    DragonMagazine
    -0.63
    eye
    -0.61
    zhen
    -0.60
     rapp
    -0.60
     Instr
    -0.59
    POSITIVE LOGITS
     legislators
    1.00
     lawmakers
    0.96
     legislation
    0.95
     tirelessly
    0.91
     vigorously
    0.90
     unsuccessfully
    0.89
     policymakers
    0.88
     Congress
    0.84
     relentlessly
    0.82
     against
    0.81
    Activations Density 0.216%

    No Known Activations