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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. 3-RES-JB
    11. 3676
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    INDEX
    Explanations

    instances of takedown requests or actions, especially those related to digital content

    oai_token-act-pair · gpt-3.5-turbo

    references to takedown requests and related legal terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pring
    -0.71
    present
    -0.70
    Cola
    -0.69
    oline
    -0.67
    zyme
    -0.67
    Grad
    -0.66
    iera
    -0.66
     Boh
    -0.66
    Tex
    -0.65
    omer
    -0.65
    POSITIVE LOGITS
     takedown
    1.31
     notices
    1.02
    akedown
    0.89
     trolling
    0.84
     infringement
    0.80
     threats
    0.79
    escription
    0.77
    umbnails
    0.76
     takeover
    0.74
     warrants
    0.73
    Activations Density 0.013%

    No Known Activations