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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. 7-RES-JB
    11. 9334
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    Explanations

    verbs related to collecting or bringing together information or data

    oai_token-act-pair · gpt-3.5-turbo

    words related to the action of compiling lists or data

    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
    arat
    -0.69
    holes
    -0.67
    akin
    -0.67
    boat
    -0.65
    boats
    -0.64
    thing
    -0.64
    mington
    -0.62
    wich
    -0.62
    nton
    -0.62
    lying
    -0.61
    POSITIVE LOGITS
     compiled
    0.90
    ãĤ¤ãĥĪ
    0.80
    LECT
    0.78
    ãĥį
    0.78
     archives
    0.75
    ãĤ¢ãĥ«
    0.73
    ographies
    0.73
    ILS
    0.73
     compilation
    0.72
    spection
    0.71
    Activations Density 0.049%

    No Known Activations