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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. 1-RES-JB
    11. 21157
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    Explanations

    comparative words indicating an increase or addition

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "more" and its variations

    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
    Enlarge
    -0.74
    xtap
    -0.68
     1932
    -0.67
    oresc
    -0.65
     Classification
    -0.64
     2024
    -0.63
    OCK
    -0.62
    oes
    -0.62
     Reconstruction
    -0.60
    DD
    -0.60
    POSITIVE LOGITS
     than
    1.17
     stringent
    0.98
     sophisticated
    0.92
     expensive
    0.90
     importantly
    0.87
     elaborate
    0.86
     costly
    0.86
     complicated
    0.86
     manageable
    0.85
    than
    0.85
    Activations Density 0.148%

    No Known Activations