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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. 7-RES-JB
    11. 21735
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    Explanations

    words related to political positions and affiliations of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to political figures or positions in government

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llah
    -0.80
     intrinsic
    -0.74
     prompt
    -0.71
    obyl
    -0.70
     provocation
    -0.69
     structure
    -0.67
    DragonMagazine
    -0.67
     rappers
    -0.66
     rhy
    -0.66
     lash
    -0.66
    POSITIVE LOGITS
    Seattle
    1.16
    Calif
    1.15
    California
    1.14
    Wisconsin
    1.08
    Portland
    1.03
    Minnesota
    1.02
    Texas
    1.00
    Atlanta
    1.00
    Virginia
    0.99
    Arizona
    0.99
    Activations Density 0.017%

    No Known Activations