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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. 11-RES-JB
    11. 23169
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    INDEX
    Explanations

    descriptions of achievements or careers in various professional fields

    oai_token-act-pair · gpt-3.5-turbo

    commas indicating lists or multiple items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abus
    -0.76
    awks
    -0.68
    abo
    -0.68
    =#
    -0.67
    imize
    -0.66
    "]=>
    -0.66
    =-=-=-=-=-=-=-=-
    -0.65
    ettle
    -0.65
    dden
    -0.64
    ãĥĪ
    -0.64
    POSITIVE LOGITS
     earning
    1.29
     becoming
    1.17
     specializing
    1.15
     succeeding
    1.13
     culminating
    1.13
     accumulating
    1.12
     gaining
    1.09
     graduating
    1.09
     compiling
    1.06
     overseeing
    1.05
    Activations Density 0.273%

    No Known Activations