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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. 4-RES-JB
    11. 6595
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    Explanations

    mentions of the media

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "media" in various contexts

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

    No Comments

    Negative Logits
    vasive
    -0.78
    adian
    -0.73
    erville
    -0.72
     Reson
    -0.71
    cker
    -0.68
     Parenthood
    -0.67
    ktop
    -0.66
     Tec
    -0.65
    abouts
    -0.65
    php
    -0.64
    POSITIVE LOGITS
    eval
    1.18
     outlets
    1.16
     outlet
    1.02
     mog
    0.86
     literacy
    0.85
     coverage
    0.83
     pundits
    0.83
     circus
    0.82
     plurality
    0.82
     broadcasters
    0.82
    Activations Density 0.027%

    No Known Activations