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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. 0-RES-JB
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    Explanations

    phrases containing the word "ive" with a high activation

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "live" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bing
    -0.75
     Mach
    -0.66
     Tomas
    -0.60
     temp
    -0.59
     lin
    -0.59
     mills
    -0.58
     Ros
    -0.57
     Lys
    -0.57
     persu
    -0.56
     bree
    -0.55
    POSITIVE LOGITS
    IVE
    4.28
    IVES
    3.00
    ives
    2.54
    ive
    2.17
    IV
    1.82
    ively
    1.73
    IVER
    1.69
    iveness
    1.61
    IFE
    1.48
    IONS
    1.43
    Activations Density 0.008%

    No Known Activations