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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. 13313
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    Explanations

    a wide range of items from different categories

    oai_token-act-pair · gpt-3.5-turbo

    references to diversity or a range of options

    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
    rollers
    -0.80
    robe
    -0.78
    jin
    -0.71
    amina
    -0.70
    doms
    -0.69
    roit
    -0.67
    abase
    -0.67
    ithing
    -0.66
    eded
    -0.66
    orses
    -0.66
    POSITIVE LOGITS
    ensical
    0.80
     variety
    0.79
     thereof
    0.78
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.74
    ĸļ
    0.73
    istries
    0.70
     Variety
    0.70
     assortment
    0.70
     Flavoring
    0.70
     vari
    0.68
    Activations Density 0.017%

    No Known Activations