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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15121
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    INDEX
    Explanations

    names of TV networks or studios

    oai_token-act-pair · gpt-3.5-turbo

    references to specific television networks and shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clave
    -0.74
    quez
    -0.69
    cific
    -0.69
    cles
    -0.67
    jri
    -0.66
     Syl
    -0.66
    ients
    -0.65
     Alz
    -0.65
    ggies
    -0.64
     Adin
    -0.64
    POSITIVE LOGITS
     Films
    1.40
     Television
    1.28
     Studios
    1.27
     Movies
    1.19
    Universal
    1.16
     Presents
    1.15
     Networks
    1.14
    TV
    1.12
     sitcom
    1.12
     Premiere
    1.10
    Activations Density 0.141%

    No Known Activations