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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. 1656
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    Explanations

    instances of dependency or reliance on certain entities or resources

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with dependency or reliance on external factors or resources

    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
    ahime
    -1.00
    terness
    -0.93
    NAS
    -0.80
    vier
    -0.79
    ãĥ¢
    -0.79
    \\\\
    -0.75
    atar
    -0.74
    cade
    -0.73
    âĸ¬
    -0.72
    omsky
    -0.71
    POSITIVE LOGITS
     donations
    0.91
     unreliable
    0.90
     intuition
    0.85
     scraps
    0.85
     luck
    0.84
     brute
    0.83
     trusting
    0.81
     relying
    0.80
     intermedi
    0.80
     imported
    0.78
    Activations Density 0.085%

    No Known Activations