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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. 7896
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    Explanations

    phrases related to actions being taken or performed

    oai_token-act-pair · gpt-3.5-turbo

    the word "they're" in various contexts

    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
    ertodd
    -0.73
     Pebble
    -0.71
    BuyableInstoreAndOnline
    -0.69
     owl
    -0.67
     tracker
    -0.66
     Kern
    -0.65
     misunder
    -0.64
     Seah
    -0.64
     lapt
    -0.63
     Nicarag
    -0.63
    POSITIVE LOGITS
    aper
    0.97
    leases
    0.95
    apers
    0.92
    becca
    0.87
    versible
    0.86
    porter
    0.85
    venue
    0.85
    ceive
    0.83
    bral
    0.82
    ploy
    0.80
    Activations Density 0.044%

    No Known Activations