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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. 12288
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    Explanations

    words related to evaluation or judgment, often expressing a strong opinion

    oai_token-act-pair · gpt-3.5-turbo

    words that convey unique qualities or characteristics

    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
    andise
    -0.70
    schild
    -0.67
    omez
    -0.67
    ÄŁ
    -0.66
     Wonderland
    -0.62
     Frames
    -0.61
     Lobby
    -0.60
    ORGE
    -0.59
    ATTLE
    -0.59
    ITNESS
    -0.58
    POSITIVE LOGITS
    Cola
    0.88
     nipples
    0.83
    ÏĢ
    0.73
    ciation
    0.73
    formance
    0.72
    haps
    0.71
    uma
    0.71
    aic
    0.70
    eteenth
    0.70
    pling
    0.69
    Activations Density 0.071%

    No Known Activations