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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. 8-RES-JB
    11. 8465
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    Explanations

    sentences with words related to legal proceedings and misconduct

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to controversy and public opinion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     calendars
    -0.70
    ggles
    -0.69
     climbs
    -0.68
     balcon
    -0.67
     roofs
    -0.67
     tabs
    -0.67
     pipes
    -0.66
     substr
    -0.65
     beds
    -0.63
     radios
    -0.63
    POSITIVE LOGITS
    Had
    1.17
     lacked
    1.13
    didn
    1.10
     didn
    1.06
     Had
    1.05
     knew
    1.03
     deserved
    1.02
    Was
    1.01
     did
    0.99
     mattered
    0.97
    Activations Density 0.903%

    No Known Activations