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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. 9-RES-JB
    11. 17729
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    Explanations

    footage related to videos or recordings within text

    oai_token-act-pair · gpt-3.5-turbo

    references to video or film content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Schwarz
    -0.69
    BuyableInstoreAndOnline
    -0.69
    姫
    -0.66
    ptive
    -0.65
    inence
    -0.65
    Recommend
    -0.64
    ccoli
    -0.63
    orio
    -0.62
    powers
    -0.61
    iott
    -0.61
    POSITIVE LOGITS
     footage
    1.12
     filmed
    1.09
     clips
    1.07
     depicting
    0.96
     uploaded
    0.95
     cameras
    0.93
     clip
    0.87
     aired
    0.87
     taped
    0.85
     recorder
    0.85
    Activations Density 0.043%

    No Known Activations