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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. 0-RES-JB
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    Explanations

    the word "forgotten"

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "forgotten" or overlooked subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onduct
    -0.64
    atures
    -0.63
    á
    -0.62
    osc
    -0.60
    ood
    -0.59
    ois
    -0.58
    â
    -0.58
    °
    -0.58
    ua
    -0.57
    SP
    -0.57
    POSITIVE LOGITS
     forgotten
    3.94
     forgot
    2.07
     overlooked
    2.00
     neglected
    1.93
     forgetting
    1.85
     Forgotten
    1.84
     forget
    1.81
     misunderstood
    1.61
     discarded
    1.43
     remembered
    1.39
    Activations Density 0.012%

    No Known Activations