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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
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    Explanations

    the name "Aguilar"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Agu" and its variations, likely indicating a focus on a specific individual or character associated with that name

    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
    âķIJâķIJ
    -0.65
    é¾įå¥ij士
    -0.65
     Sloan
    -0.63
    OCK
    -0.62
     Perception
    -0.62
     Olympia
    -0.62
    pace
    -0.61
    Ö¼
    -0.59
     guiActiveUnfocused
    -0.59
     Turing
    -0.59
    POSITIVE LOGITS
    illo
    1.04
    anas
    1.00
    ilar
    1.00
    endas
    0.96
    illas
    0.93
     Agu
    0.93
    inia
    0.92
    ahah
    0.91
    inces
    0.90
    ascal
    0.90
    Activations Density 0.010%

    No Known Activations