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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. 7287
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    INDEX
    Explanations

    mentions of negative experiences or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to systematic oppression and political manipulation

    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
    usercontent
    -0.52
    laws
    -0.51
    ramid
    -0.50
    Ire
    -0.49
    ufact
    -0.48
    ":[
    -0.46
     regul
    -0.46
     adolesc
    -0.46
    doors
    -0.46
    ]),
    -0.46
    POSITIVE LOGITS
    onge
    0.54
     Description
    0.52
     ·
    0.51
     [/
    0.51
    escription
    0.51
     âľ
    0.50
    DragonMagazine
    0.50
     START
    0.48
    inka
    0.47
     };
    0.47
    Activations Density 1.806%

    No Known Activations