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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. 7-RES-JB
    11. 11065
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    INDEX
    Explanations

    organizations and companies

    oai_token-act-pair · gpt-3.5-turbo

    specific names of organizations, brands, or entities related to various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è£ħ
    -0.64
    Picture
    -0.57
    ERG
    -0.51
     Canaver
    -0.51
     Ange
    -0.49
     lately
    -0.49
    agame
    -0.48
    ratom
    -0.47
    WARD
    -0.47
    minist
    -0.47
    POSITIVE LOGITS
     etc
    0.92
     plat
    0.57
     TBA
    0.57
     notwithstanding
    0.56
     extraord
    0.55
    voy
    0.55
     thereof
    0.54
     gal
    0.53
    ).[
    0.53
    +)
    0.52
    Activations Density 1.008%

    No Known Activations