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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. 10-RES-JB
    11. 24539
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    Explanations

    specific types of professionals or groups of people related to different industries

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to various professions and activities within community settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå
    -0.69
    WithNo
    -0.61
    Ö¼
    -0.59
    Ö
    -0.59
    ãĥ«
    -0.53
    ensibly
    -0.53
    ËĪ
    -0.53
    bably
    -0.52
    ãĥį
    -0.52
     confir
    -0.50
    POSITIVE LOGITS
     etc
    1.88
    etc
    1.44
    ...)
    1.30
    ,...
    1.26
     ect
    1.25
    âĢ¦)
    1.24
    âĢ¦
    1.04
    ...
    0.98
    âĢ¦.
    0.92
    ,
    0.92
    Activations Density 0.298%

    No Known Activations