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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. 10009
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    Explanations

    phrases related to waiting for someone or something

    oai_token-act-pair · gpt-3.5-turbo

    instances of waiting and expectations related to various subjects

    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
    ãĥĦ
    -0.98
    ãĥ´
    -0.82
    ©¶æ¥µ
    -0.75
    ignore
    -0.71
    âĵĺ
    -0.70
    rf
    -0.69
    kept
    -0.69
    hid
    -0.68
    kid
    -0.68
    erer
    -0.67
    POSITIVE LOGITS
     confirmation
    1.09
     reinforcements
    1.06
     directions
    1.01
     clarification
    0.98
     permission
    0.95
     approval
    0.95
     arrival
    0.95
     gratification
    0.94
     answers
    0.90
     someone
    0.90
    Activations Density 0.100%

    No Known Activations