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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. 4-RES-JB
    11. 24081
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    Explanations

    references to being incarcerated or having physical barriers, particularly using the word "bars"

    oai_token-act-pair · gpt-3.5-turbo

    references to imprisonment or incarceration

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

    No Comments

    Negative Logits
    ctive
    -0.89
     GENERAL
    -0.78
    IBLE
    -0.76
    lihood
    -0.74
    UAL
    -0.73
     STATES
    -0.71
    ãĤī
    -0.68
     PRES
    -0.67
     PUR
    -0.65
    æ©Ł
    -0.65
    POSITIVE LOGITS
    poon
    1.07
    hop
    0.97
     bars
    0.96
    hops
    0.93
    becue
    0.91
    bell
    0.90
    celona
    0.86
    mith
    0.85
    jer
    0.85
    manship
    0.85
    Activations Density 0.006%

    No Known Activations