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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. 8-RES-JB
    11. 18476
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    Explanations

    phrases related to accumulation or achievement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accumulating or increasing amounts or achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.80
    forge
    -0.74
    iw
    -0.69
    IRT
    -0.64
    esa
    -0.63
    cius
    -0.63
    Monitor
    -0.62
     mathemat
    -0.62
    ocks
    -0.61
    alien
    -0.60
    POSITIVE LOGITS
     victories
    0.91
     concessions
    0.73
     tons
    0.72
     compliments
    0.72
     enough
    0.69
     plenty
    0.68
     acres
    0.66
     victory
    0.66
     some
    0.65
     hordes
    0.65
    Activations Density 0.132%

    No Known Activations