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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. 6161
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    Explanations

    phrases or sentences summarizing a situation or topic

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize summaries or concise statements

    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
    obal
    -0.65
    "},"
    -0.62
    20439
    -0.59
    kefeller
    -0.58
     unwitting
    -0.57
    ousel
    -0.56
     burner
    -0.55
    arsity
    -0.54
     record
    -0.52
     Trib
    -0.52
    POSITIVE LOGITS
     nutshell
    1.12
    ,.
    0.81
    :
    0.77
    !:
    0.73
    é¾įåĸļ士
    0.70
    zie
    0.70
    tainment
    0.70
    :'
    0.69
    ãĤª
    0.68
    ,
    0.67
    Activations Density 0.073%

    No Known Activations