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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. 11-RES-JB
    11. 105
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    Explanations

    instances where something is forgotten or forgotten about

    oai_token-act-pair · gpt-3.5-turbo

    instances of forgetting or loss of memory

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Released
    -0.76
    Parser
    -0.76
    amen
    -0.75
    ä½ľ
    -0.70
    QUI
    -0.69
    çĶŁ
    -0.69
    ×ij
    -0.67
    LLOW
    -0.67
    åĮ
    -0.66
    insula
    -0.66
    POSITIVE LOGITS
     about
    1.30
     ABOUT
    1.15
    fulness
    1.12
    table
    1.08
     About
    1.00
    about
    0.88
    About
    0.82
    fully
    0.81
     how
    0.80
    ful
    0.79
    Activations Density 0.051%

    No Known Activations