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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. 19342
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    Explanations

    phrases related to the activity of filming

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the act of filming in various contexts

    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
    ebook
    -0.78
    dies
    -0.74
    abies
    -0.71
    abulary
    -0.69
    uit
    -0.69
    esse
    -0.69
    wake
    -0.68
    cup
    -0.66
    bread
    -0.65
    iang
    -0.65
    POSITIVE LOGITS
     filming
    1.08
     filmed
    0.84
     footage
    0.83
     Studios
    0.83
     Casting
    0.82
     Camer
    0.81
     cameras
    0.78
     Locations
    0.76
     studios
    0.75
     Studio
    0.75
    Activations Density 0.029%

    No Known Activations