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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. 1-RES-JB
    11. 15743
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    Explanations

    proper nouns or names being recalled or remembered in a context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "recalled."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alach
    -0.93
    BIT
    -0.83
    ahime
    -0.79
    hat
    -0.79
    lat
    -0.78
    chn
    -0.77
    arent
    -0.75
    \\\\\\\\\\\\\\\\
    -0.73
    thing
    -0.72
    etric
    -0.72
    POSITIVE LOGITS
     recalled
    1.19
     recalling
    1.14
     recalls
    1.12
     vividly
    0.97
     recall
    0.87
     Recall
    0.84
     memories
    0.81
     Memories
    0.79
     recounted
    0.77
     aloud
    0.77
    Activations Density 0.012%

    No Known Activations