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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. 7-RES-JB
    11. 14622
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    Explanations

    terms related to hindrance or obstruction

    oai_token-act-pair · gpt-3.5-turbo

    references to obstacles or hindrances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.79
    ynthesis
    -0.69
     Electronic
    -0.67
    hips
    -0.66
     Brilliant
    -0.66
     Scotia
    -0.64
    Elect
    -0.64
    éĹĺ
    -0.63
     Sunshine
    -0.63
    isable
    -0.63
    POSITIVE LOGITS
    ering
    1.08
    rance
    0.95
    sight
    0.92
    quarters
    0.92
    nesses
    0.86
    shire
    0.84
    pling
    0.84
     hind
    0.83
    vest
    0.81
    rowing
    0.79
    Activations Density 0.021%

    No Known Activations