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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. 6-RES-JB
    11. 7877
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    Explanations

    phrases related to thin films

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "thin" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pheus
    -0.74
    NL
    -0.68
    bucks
    -0.67
    ILLE
    -0.67
    OUP
    -0.67
    udeau
    -0.66
    ilee
    -0.65
    Particip
    -0.65
    andise
    -0.65
    eering
    -0.64
    POSITIVE LOGITS
    ned
    1.36
    ning
    1.23
    ners
    1.14
    nesses
    0.99
    ened
    0.89
    bread
    0.87
     slices
    0.86
    med
    0.83
    ening
    0.83
     thin
    0.82
    Activations Density 0.015%

    No Known Activations