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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. 8-RES-JB
    11. 7183
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    Explanations

    words related to economic trends such as rise, fall, and decline

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to trends of increase and decrease

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redacted
    -0.68
    DERR
    -0.68
    VICE
    -0.67
     extras
    -0.66
     quir
    -0.66
    Sources
    -0.65
     waive
    -0.64
    poon
    -0.64
     Extras
    -0.64
     subtitles
    -0.63
    POSITIVE LOGITS
    ivism
    0.92
    ivist
    0.90
    lust
    0.84
    nings
    0.84
    opian
    0.83
     wrought
    0.82
     trend
    0.81
    ait
    0.78
    over
    0.77
     tide
    0.75
    Activations Density 0.189%

    No Known Activations