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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. 20010
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    Explanations

    sentences or phrases that summarize or encapsulate information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate summarization or generalization of information

    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
    izon
    -0.64
    andum
    -0.62
    ions
    -0.61
    DragonMagazine
    -0.58
    ministic
    -0.57
    ignty
    -0.56
     marker
    -0.54
    agents
    -0.54
    .>>
    -0.54
    NF
    -0.53
    POSITIVE LOGITS
     up
    1.60
     Up
    1.25
    Up
    1.20
    up
    1.15
    ups
    1.04
    UP
    1.02
     UP
    0.96
     ups
    0.93
     Ups
    0.90
    ETS
    0.77
    Activations Density 0.240%

    No Known Activations