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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. 4-RES-JB
    11. 1851
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    Explanations

    phrases related to various kinds of experiences or occurrences, including emotional, physical, and situational experiences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "experiencing" and its related forms

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

    No Comments

    Negative Logits
    corn
    -0.80
    law
    -0.74
    trap
    -0.73
    hatt
    -0.70
    laws
    -0.69
    loaded
    -0.68
     nod
    -0.67
    sche
    -0.63
    loader
    -0.62
    raft
    -0.62
    POSITIVE LOGITS
     firsthand
    1.02
    HAEL
    0.85
    OOL
    0.80
    ienced
    0.78
    Capture
    0.77
    iences
    0.76
    LV
    0.75
    IDENT
    0.75
    OWS
    0.75
     homelessness
    0.72
    Activations Density 0.029%

    No Known Activations