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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    phrases or words related to the word "apes"

    oai_token-act-pair · gpt-3.5-turbo

    references to various "apes" and mentions of specific individuals or cases involving them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.71
     Mub
    -0.69
     shoulders
    -0.66
    ffer
    -0.66
    WF
    -0.65
    vidia
    -0.64
     qualifier
    -0.64
    WN
    -0.64
     standby
    -0.62
     signing
    -0.61
    POSITIVE LOGITS
    apes
    3.74
    APE
    1.18
    ourage
    1.08
     Bin
    0.93
    arta
    0.91
    escape
    0.86
    orts
    0.81
    ovo
    0.80
    ibles
    0.79
    ape
    0.79
    Activations Density 0.020%

    No Known Activations