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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. 6-RES-JB
    11. 5581
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    INDEX
    Explanations

    information related to box office performance such as movie earnings

    oai_token-act-pair · gpt-3.5-turbo

    financial metrics related to box office performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     biom
    -0.73
     sche
    -0.73
     physi
    -0.72
    seless
    -0.71
    oras
    -0.69
     Oss
    -0.69
     tink
    -0.68
     Hast
    -0.68
     Alz
    -0.66
     sentencing
    -0.65
    POSITIVE LOGITS
     viewership
    1.13
     theaters
    0.93
    ovies
    0.92
    atform
    0.91
     domestically
    0.89
    DVD
    0.88
    abase
    0.85
    Disney
    0.83
     previews
    0.82
     nominations
    0.82
    Activations Density 0.378%

    No Known Activations