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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. 5363
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    INDEX
    Explanations

    production companies and studios, especially ones involved in the film industry

    oai_token-act-pair · gpt-3.5-turbo

    references to film production companies

    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
    hy
    -0.76
    apse
    -0.69
    odox
    -0.66
    board
    -0.64
    rador
    -0.62
    ndra
    -0.62
    cru
    -0.60
    ensional
    -0.59
    mouth
    -0.59
     pod
    -0.59
    POSITIVE LOGITS
     Studios
    1.07
    ovies
    1.04
     Pictures
    0.99
     studios
    0.92
     Animation
    0.89
    Film
    0.87
    film
    0.86
     exec
    0.84
    hesda
    0.84
     Weinstein
    0.82
    Activations Density 0.078%

    No Known Activations