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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. 9-RES-JB
    11. 23616
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    Explanations

    phrases related to actions or events being carried out or performed

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "made" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assis
    -0.75
    icals
    -0.73
     herbs
    -0.68
    hens
    -0.68
     peppers
    -0.67
    hen
    -0.61
     resil
    -0.60
    ongevity
    -0.60
     Ples
    -0.59
    sit
    -0.59
    POSITIVE LOGITS
     sure
    0.92
     payable
    0.91
    emort
    0.82
    ailable
    0.80
    Dispatch
    0.78
     available
    0.77
    BLIC
    0.75
    aiden
    0.74
    solete
    0.74
    ogyn
    0.72
    Activations Density 0.055%

    No Known Activations