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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. 4-RES-JB
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    Explanations

    references to physical objects

    oai_token-act-pair · gpt-3.5-turbo

    references to physical objects, particularly in a cosmic or scientific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ornia
    -0.77
     millenn
    -0.77
    NPR
    -0.75
    egal
    -0.74
    BILITY
    -0.71
    ffe
    -0.70
    mph
    -0.70
    docs
    -0.68
    ould
    -0.67
    economic
    -0.67
    POSITIVE LOGITS
    imus
    0.87
     objects
    0.87
    izen
    0.84
    objects
    0.79
    ishly
    0.79
    ivity
    0.75
    ezvous
    0.73
     oriented
    0.72
     object
    0.71
    handler
    0.71
    Activations Density 0.014%

    No Known Activations