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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. 4048
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    Explanations

    references to specific sections or points in a text ("|enoftext|")

    oai_token-act-pair · gpt-3.5-turbo

    the presence of empty or minimal content

    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
     reper
    -0.76
     amnesty
    -0.74
     eleph
    -0.74
    thodox
    -0.73
     estranged
    -0.71
    ilty
    -0.71
     tradem
    -0.70
     embargo
    -0.68
     initi
    -0.68
     conting
    -0.68
    POSITIVE LOGITS
    Untitled
    1.19
    WASHINGTON
    1.18
    CLOSE
    1.18
    Abstract
    1.17
    Description
    1.16
    Trivia
    1.13
    Still
    1.12
    Overview
    1.11
    Breaking
    1.10
    Quote
    1.08
    Activations Density 0.126%

    No Known Activations