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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. 3-RES-JB
    11. 4093
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    INDEX
    Explanations

    references to visual observations or appearances

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "seen" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.85
    angan
    -0.70
    cision
    -0.67
    prime
    -0.66
    omo
    -0.64
    cussion
    -0.64
    cise
    -0.63
     misunderstanding
    -0.63
     anthem
    -0.62
    cé
    -0.62
    POSITIVE LOGITS
    IRT
    0.92
    wcsstore
    0.84
    seeing
    0.84
    IOR
    0.81
     Seen
    0.80
    Ĺ
    0.79
    PsyNetMessage
    0.79
    ById
    0.79
    ../
    0.77
     Poster
    0.75
    Activations Density 0.031%

    No Known Activations