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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. 9-RES-JB
    11. 20313
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    Explanations

    words or phrases related to emphasizing the significance of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions emphasizing the significance of various concepts or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wonderland
    -0.77
    wagen
    -0.72
    steen
    -0.65
    cker
    -0.60
    tsy
    -0.60
    rooms
    -0.59
     Emirates
    -0.59
    âĢ²
    -0.59
     Bore
    -0.57
    ogether
    -0.57
    POSITIVE LOGITS
    lessness
    0.99
     importance
    0.91
     factor
    0.81
     attaches
    0.77
    istence
    0.76
    uality
    0.74
     inherent
    0.74
     tremend
    0.74
    of
    0.73
    ocratic
    0.71
    Activations Density 0.045%

    No Known Activations