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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. 7-RES-JB
    6. 18206
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    Explanations

    phrases related to reading instructions or information

    oai_token-act-pair · gpt-3.5-turbo

    the definite article "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     followed
    -0.75
     whenever
    -0.73
     respectively
    -0.71
     namely
    -0.65
    Eva
    -0.65
     whilst
    -0.65
     shortly
    -0.64
    isin
    -0.63
     @@
    -0.63
    =#
    -0.63
    POSITIVE LOGITS
     slightest
    1.77
     entirety
    1.20
     nor
    1.15
     specifics
    1.08
     anymore
    1.07
     usual
    1.06
     same
    1.06
     totality
    0.98
     confines
    0.92
     merits
    0.90
    Activations Density 0.417%

    No Known Activations