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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. 3-RES-JB
    11. 4360
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    Explanations

    proper nouns or names being recalled

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "recalled" indicating memories or retrospective accounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPA
    -0.93
    \\\\\\\\\\\\\\\\
    -0.85
    hat
    -0.81
    arent
    -0.76
    ahime
    -0.74
    etric
    -0.73
    abuse
    -0.73
    otion
    -0.71
    tech
    -0.70
    haust
    -0.69
    POSITIVE LOGITS
     recalling
    0.97
     vividly
    0.95
     memories
    0.93
     nostalg
    0.88
     recalled
    0.84
     remembrance
    0.83
     recol
    0.83
     recollection
    0.83
     remembering
    0.79
     Memories
    0.76
    Activations Density 0.012%

    No Known Activations