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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
    11. 13534
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    Explanations

    mentions of media technologies or organizations related to media

    oai_token-act-pair · gpt-3.5-turbo

    references to media content and technology

    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
    bats
    -0.72
    cair
    -0.72
    cker
    -0.72
    0000000
    -0.68
    lein
    -0.63
    hyde
    -0.63
    sung
    -0.62
    nob
    -0.62
    anks
    -0.62
    incerity
    -0.61
    POSITIVE LOGITS
    eval
    1.59
    wiki
    1.00
     literacy
    0.94
     playback
    0.86
     outlets
    0.85
     mogul
    0.82
     mog
    0.78
     plurality
    0.78
     conglomer
    0.78
     caption
    0.76
    Activations Density 0.038%

    No Known Activations