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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. 15869
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    Explanations

    phrases related to forceful tearing or destroying

    oai_token-act-pair · gpt-3.5-turbo

    forms of the word "rip" in various contexts

    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
    ADRA
    -0.74
     MacArthur
    -0.72
    avis
    -0.71
    äºĶ
    -0.67
     Sina
    -0.66
     Handler
    -0.65
     Glob
    -0.65
     Gael
    -0.63
     Amend
    -0.62
     Granger
    -0.61
    POSITIVE LOGITS
     rip
    0.96
    ety
    0.95
    ulously
    0.93
    away
    0.81
    hest
    0.81
    eness
    0.80
     ripped
    0.79
    rodu
    0.78
    ework
    0.77
    aways
    0.76
    Activations Density 0.010%

    No Known Activations