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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. 18117
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    Explanations

    phrases related to making an impact or causing a change

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to making a difference or impact in various contexts

    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
    vez
    -0.84
    rive
    -0.80
    ctic
    -0.79
    ATA
    -0.79
    odes
    -0.78
     DRAGON
    -0.75
    rollers
    -0.74
    psc
    -0.72
    stra
    -0.71
    ergy
    -0.70
    POSITIVE LOGITS
    iveness
    0.87
    ļéĨĴ
    0.84
    uyomi
    0.81
     maker
    0.79
     between
    0.77
     difference
    0.76
    yip
    0.76
     opin
    0.75
    between
    0.75
    ials
    0.75
    Activations Density 0.021%

    No Known Activations