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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. 9812
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    Explanations

    phrases related to goal-setting and determination

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate importance or necessity related to goals or objectives

    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
    ansson
    -0.64
    luaj
    -0.63
    untled
    -0.62
    enne
    -0.62
    kas
    -0.61
    onz
    -0.60
    otte
    -0.59
    ixels
    -0.59
    lin
    -0.59
    wright
    -0.58
    POSITIVE LOGITS
     gonna
    1.04
    SPONSORED
    0.92
     definitely
    0.84
     alright
    0.84
     why
    0.84
     icing
    0.83
     indicative
    0.83
     unacceptable
    0.82
     gotta
    0.79
     understandable
    0.78
    Activations Density 0.138%

    No Known Activations