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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. 8-RES-JB
    11. 1902
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    Explanations

    phrases indicating a decision or conclusion being reached

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating things that can be boiled down to a simpler concept or idea

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rs
    -0.79
    enment
    -0.78
    interstitial
    -0.76
    arak
    -0.75
    nor
    -0.75
    ren
    -0.74
    hement
    -0.74
    oris
    -0.73
    owed
    -0.73
    enery
    -0.73
    POSITIVE LOGITS
     basics
    0.83
     brass
    0.81
     milliseconds
    0.78
     Pieces
    0.75
     simple
    0.73
     powder
    0.72
     bytes
    0.71
     bite
    0.71
     simpler
    0.71
     Solitaire
    0.70
    Activations Density 0.080%

    No Known Activations