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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. 8205
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    Explanations

    documented locations or specific items

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the presence of something or the act of locating items or information

    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
    awar
    -0.72
    forming
    -0.72
    stroke
    -0.71
    slow
    -0.71
    ansky
    -0.71
    assisted
    -0.69
    staking
    -0.67
    ikarp
    -0.67
    inion
    -0.66
    concept
    -0.66
    POSITIVE LOGITS
     plenty
    0.98
     yourself
    0.83
     references
    0.82
    èĢħ
    0.82
     traces
    0.80
     ample
    0.78
     yourselves
    0.78
     loopholes
    0.77
     lots
    0.76
     oneself
    0.75
    Activations Density 0.063%

    No Known Activations