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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. 2-RES-JB
    11. 17371
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    Explanations

    specific acronyms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the acronym "PU" and variations of it in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Heard
    -0.76
     Angels
    -0.75
     Esper
    -0.75
     Siren
    -0.71
    heimer
    -0.71
     Europeans
    -0.68
     Bermuda
    -0.67
     adm
    -0.66
    eworld
    -0.64
     Remain
    -0.64
    POSITIVE LOGITS
    BLIC
    1.71
    PDATE
    1.30
    PU
    1.20
    yip
    1.02
    ZZ
    0.98
    cci
    0.98
    cture
    0.96
    FFER
    0.94
    pload
    0.90
    resents
    0.90
    Activations Density 0.010%

    No Known Activations