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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. 8943
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    Explanations

    phrases related to being in a particular situation or context

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" in various contexts

    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
    CRIPTION
    -0.62
    Voice
    -0.62
    FTWARE
    -0.60
    TEXTURE
    -0.60
     hurled
    -0.60
    uces
    -0.59
     alloc
    -0.58
    DragonMagazine
    -0.56
    uce
    -0.56
     DOI
    -0.55
    POSITIVE LOGITS
    escap
    1.08
     fact
    1.04
    bred
    0.95
     danger
    0.94
    structed
    0.94
     jeopardy
    0.93
    ching
    0.90
    itialized
    0.89
    humane
    0.88
    arg
    0.87
    Activations Density 0.141%

    No Known Activations