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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. 11-RES-JB
    11. 23105
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    Explanations

    instances where something or someone is described as one of the best or most noteworthy in a certain category

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating someone or something being one of the best or most notable in a particular context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lations
    -0.61
    def
    -0.60
    ARS
    -0.60
    ears
    -0.55
    given
    -0.54
    respective
    -0.54
    2003
    -0.53
    ties
    -0.52
    tell
    -0.51
    ansom
    -0.51
    POSITIVE LOGITS
     of
    1.03
     hundred
    0.83
     dimensional
    0.83
     step
    0.81
     heck
    0.78
     heartbeat
    0.78
     notch
    0.75
    esan
    0.71
     hell
    0.70
    dimensional
    0.70
    Activations Density 0.053%

    No Known Activations