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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. 3-RES-JB
    11. 20729
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    Explanations

    specific mentions of media sources

    oai_token-act-pair · gpt-3.5-turbo

    mentions of media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ranch
    -0.82
    ought
    -0.75
    clus
    -0.70
    essee
    -0.69
    luaj
    -0.68
    0000000000000000
    -0.68
    0000000
    -0.67
    bats
    -0.67
    stals
    -0.67
    uristic
    -0.66
    POSITIVE LOGITS
    Media
    0.86
     playback
    0.85
     caption
    0.81
     outlets
    0.78
     Content
    0.76
     Media
    0.74
     Matters
    0.73
    Medical
    0.72
    Wiki
    0.70
    Buzz
    0.70
    Activations Density 0.011%

    No Known Activations