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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. 6-RES-JB
    11. 656
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    Explanations

    phrases related to making judgments or decisions based on specific criteria or information, particularly within legal, political, or policy contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate criteria or bases for decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.80
    vous
    -0.78
    Forge
    -0.76
    seek
    -0.74
    bats
    -0.73
    ffect
    -0.67
    zon
    -0.67
    few
    -0.67
    RL
    -0.67
    Kids
    -0.66
    POSITIVE LOGITS
     behalf
    0.97
     principles
    0.83
     assumption
    0.81
     principle
    0.78
     sheer
    0.75
     hears
    0.71
     suspicion
    0.71
     scraps
    0.71
     Demand
    0.70
     premise
    0.69
    Activations Density 0.067%

    No Known Activations