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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. 9-RES-JB
    11. 22761
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    Explanations

    phrases related to progress, improvement, or advancement

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the idea of progress or improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.74
    item
    -0.66
    dropping
    -0.64
    urities
    -0.58
    dro
    -0.57
    tis
    -0.55
    oleon
    -0.55
    iasco
    -0.55
    ecake
    -0.55
     flashes
    -0.55
    POSITIVE LOGITS
     furthe
    0.89
     route
    0.89
     distance
    0.88
     step
    0.81
     Distance
    0.81
     distances
    0.74
     Steps
    0.71
     mile
    0.70
     Step
    0.69
     way
    0.68
    Activations Density 0.106%

    No Known Activations