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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. 7436
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    Explanations

    phrases related to reducing intensity or impact

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to alleviating or mitigating negative impacts or burdens

    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
    tumblr
    -0.75
    govtrack
    -0.70
     Pett
    -0.70
    utan
    -0.70
    çīĪ
    -0.70
     Zup
    -0.69
    66666666
    -0.68
     Ambrose
    -0.67
    recated
    -0.67
     owns
    -0.67
    POSITIVE LOGITS
     flow
    0.81
     airflow
    0.74
     pace
    0.72
     considerably
    0.72
     valve
    0.68
     feelings
    0.68
     pupil
    0.68
     groove
    0.67
    eper
    0.67
     bleeding
    0.66
    Activations Density 0.267%

    No Known Activations