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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. 4026
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    Explanations

    technical steps or instructions

    oai_token-act-pair · gpt-3.5-turbo

    sequences that indicate procedural or step-by-step instructions

    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
    ciating
    -0.80
    inately
    -0.75
    iqueness
    -0.75
    rums
    -0.72
    ruciating
    -0.71
    itability
    -0.70
    itably
    -0.70
     constit
    -0.68
    versely
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.68
    POSITIVE LOGITS
    Step
    1.18
     Steps
    1.04
     Flo
    0.92
    hens
    0.89
     Step
    0.89
    daughter
    0.88
    step
    0.85
     STEP
    0.85
    hani
    0.85
    hent
    0.83
    Activations Density 0.020%

    No Known Activations