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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4347
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    INDEX
    Explanations

    memories or moments that are being recalled or remembered

    oai_token-act-pair · gpt-3.5-turbo

    phrases that prompt or evoke memories

    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
    ItemTracker
    -0.70
    goo
    -0.66
    Released
    -0.65
    utenberg
    -0.65
    \\\\\\\\\\\\\\\\
    -0.64
    elle
    -0.63
    adh
    -0.63
    hung
    -0.62
    adish
    -0.62
    ema
    -0.62
    POSITIVE LOGITS
    remember
    0.94
     remembering
    0.81
    ably
    0.76
     forgotten
    0.72
    theless
    0.71
     how
    0.71
     forgetting
    0.69
     remember
    0.69
     Recall
    0.69
     remembered
    0.69
    Activations Density 0.022%

    No Known Activations