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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. 24076
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    Explanations

    phrases indicating evaluation or judgment, particularly related to quality

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to varying qualities or evaluations of things

    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
    rup
    -0.64
     predominant
    -0.60
     totality
    -0.58
    arser
    -0.57
    avering
    -0.57
    ModLoader
    -0.57
    arcity
    -0.55
    mber
    -0.55
     priesthood
    -0.55
    rupt
    -0.55
    POSITIVE LOGITS
     huh
    1.38
     eh
    1.20
     anyways
    1.12
     anyway
    1.05
    ?!
    0.98
     considering
    0.96
     haha
    0.96
     nowadays
    0.96
     ain
    0.94
     ;)
    0.93
    Activations Density 0.298%

    No Known Activations