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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. 2125
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    Explanations

    adjectives describing the subjective nature of a statement or situation

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that convey a sense of unusualness or peculiarity

    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
    sten
    -0.67
    rongh
    -0.67
     destro
    -0.66
     Preferred
    -0.66
    drivers
    -0.65
    berus
    -0.64
    çīĪ
    -0.60
    gemony
    -0.60
    everal
    -0.60
    gdala
    -0.59
    POSITIVE LOGITS
     considering
    0.98
     sounding
    0.80
    sounding
    0.79
     given
    0.79
     compared
    0.78
     until
    0.78
     nowadays
    0.77
     initially
    0.76
     but
    0.72
     intuitive
    0.70
    Activations Density 0.186%

    No Known Activations