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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. 1-RES-JB
    11. 6446
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    INDEX
    Explanations

    words related to opinions or feelings (sentiments)

    oai_token-act-pair · gpt-3.5-turbo

    expressions of sentiment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arters
    -0.78
    AMS
    -0.68
     Universities
    -0.66
     Eggs
    -0.66
     Guinness
    -0.65
    dule
    -0.65
    redit
    -0.65
    ARDS
    -0.65
    mits
    -0.64
    abb
    -0.63
    POSITIVE LOGITS
     sentiment
    1.29
     sentiments
    1.20
     guiActiveUn
    1.17
    ality
    0.86
    igue
    0.77
    arial
    0.75
     Osw
    0.72
    hovah
    0.72
     contag
    0.72
    TextColor
    0.69
    Activations Density 0.006%

    No Known Activations