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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 23956
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    Explanations

    phrases related to specific medical terms or scientific concepts

    oai_token-act-pair · gpt-3.5-turbo

    the word "aph" in various contexts, likely related to specific terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PUT
    -0.82
    âĸ¬âĸ¬
    -0.75
    swick
    -0.72
     Line
    -0.68
    NING
    -0.66
     Borderlands
    -0.65
     Supplemental
    -0.65
    present
    -0.64
     LINE
    -0.63
    ³³³³
    -0.62
    POSITIVE LOGITS
    aph
    1.31
    obia
    1.17
    rod
    1.01
    onso
    0.99
    ysics
    0.98
    alon
    0.98
    obic
    0.97
    amily
    0.96
    ornia
    0.96
    osate
    0.96
    Activations Density 0.004%

    No Known Activations