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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. 12-RES-JB
    11. 2849
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    Explanations

    technical programming instructions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instructions or steps in a procedural context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Palest
    -0.69
    ioned
    -0.69
     disappro
    -0.67
    emale
    -0.64
    ĸļ
    -0.61
     lamented
    -0.61
     contradicted
    -0.60
    choes
    -0.60
     outl
    -0.59
    antz
    -0.59
    POSITIVE LOGITS
    Step
    1.13
    Firstly
    1.12
     Firstly
    1.11
     Download
    1.09
     Create
    1.05
    First
    1.03
    Create
    1.03
     Install
    1.00
    Download
    1.00
     First
    0.99
    Activations Density 0.285%

    No Known Activations