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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. 5-RES-JB
    6. 8661
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    INDEX
    Explanations

    Instances where something is being reminded to someone

    oai_token-act-pair · gpt-3.5-turbo

    references to personal memories or associations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertising
    -0.68
    <?
    -0.67
    soever
    -0.65
     disagrees
    -0.64
    mouth
    -0.63
    aird
    -0.63
    hement
    -0.62
    econom
    -0.62
    chen
    -0.60
    atts
    -0.59
    POSITIVE LOGITS
     vividly
    0.83
     nostalg
    0.77
     Invaders
    0.67
     srfAttach
    0.67
     compr
    0.66
     heroism
    0.66
     chant
    0.66
     recall
    0.66
     Recall
    0.64
     remembering
    0.64
    Activations Density 0.085%

    No Known Activations