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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. 11-RES-JB
    11. 13059
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    Explanations

    phrases related to different approaches or methods

    oai_token-act-pair · gpt-3.5-turbo

    references to different methodologies or strategies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     havoc
    -0.72
    grave
    -0.66
    watching
    -0.64
     uproar
    -0.60
    ãĥ©ãĥ³
    -0.59
    rd
    -0.58
    mingham
    -0.57
    arus
    -0.57
     nurs
    -0.56
     Apostle
    -0.56
    POSITIVE LOGITS
     toward
    1.00
     towards
    0.97
    ologies
    0.97
     to
    0.87
     approach
    0.86
    able
    0.83
     thereto
    0.83
     Approach
    0.80
     pioneered
    0.76
    ivist
    0.76
    Activations Density 0.065%

    No Known Activations