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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. 7127
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    Explanations

    phrases related to rewards and punishments, especially in a societal or organizational context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to reward and punishment

    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
    vent
    -0.75
    cre
    -0.73
    scape
    -0.71
    park
    -0.71
    ographic
    -0.69
    torn
    -0.69
    club
    -0.67
    tool
    -0.65
     cure
    -0.63
    forum
    -0.63
    POSITIVE LOGITS
     harshly
    0.95
    hyde
    0.74
     punish
    0.74
     withd
    0.73
     punishing
    0.72
     handsome
    0.72
     penalties
    0.71
     dearly
    0.71
     severely
    0.71
     unfairly
    0.70
    Activations Density 0.048%

    No Known Activations