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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. 4-RES-JB
    11. 2541
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    Explanations

    phrases related to legal actions or events that have been initiated or invoked

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "brought."

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

    No Comments

    Negative Logits
    schild
    -0.75
    livious
    -0.68
    etheless
    -0.68
     guiActiveUn
    -0.66
     ellipt
    -0.65
    bi
    -0.63
    gap
    -0.63
    codes
    -0.63
    enture
    -0.61
    raid
    -0.61
    POSITIVE LOGITS
     forth
    1.00
     forward
    0.82
     ashore
    0.76
    bring
    0.75
    backs
    0.74
     together
    0.72
     up
    0.70
    Back
    0.68
    oused
    0.68
    uay
    0.67
    Activations Density 0.030%

    No Known Activations