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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. 9373
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    Explanations

    terms related to sensitivity or sensory perception

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sensitivity 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
    ghazi
    -0.71
     Ala
    -0.70
    corn
    -0.69
    raine
    -0.67
    thus
    -0.67
     Camel
    -0.66
    amon
    -0.66
    eu
    -0.65
    agne
    -0.65
     Arbor
    -0.65
    POSITIVE LOGITS
     sensitivity
    1.20
    ivities
    1.10
     sensit
    0.99
     guiActiveUn
    0.89
    ensitivity
    0.85
    irtual
    0.83
     sensitive
    0.83
    xual
    0.82
     tolerant
    0.79
    uous
    0.77
    Activations Density 0.013%

    No Known Activations