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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 9995
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    Explanations

    references to different views or perspectives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "view" related to observations or activities in various contexts

    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
     lull
    -0.78
     breathing
    -0.76
    odic
    -0.74
     downturn
    -0.71
     instr
    -0.69
     reorgan
    -0.68
     escal
    -0.67
     extingu
    -0.66
     electr
    -0.65
    astically
    -0.65
    POSITIVE LOGITS
    view
    1.17
    edIn
    1.01
    port
    0.93
    views
    0.92
    ership
    0.87
    Cache
    0.86
    PORT
    0.84
    finder
    0.84
     Manor
    0.84
    er
    0.83
    Activations Density 0.013%

    No Known Activations