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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. 2-RES-JB
    11. 15576
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    Explanations

    verbs related to causing something to happen or leading someone to do something

    oai_token-act-pair · gpt-3.5-turbo

    words related to installation or instigation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    livious
    -0.80
     KING
    -0.76
     Nanto
    -0.75
    DEN
    -0.74
    ALD
    -0.65
     Blessed
    -0.62
     Clyde
    -0.61
     Norman
    -0.61
     Skydragon
    -0.61
     Ajax
    -0.61
    POSITIVE LOGITS
    igator
    0.91
    uates
    0.90
     inst
    0.87
    anti
    0.87
    agram
    0.85
    igators
    0.85
    uated
    0.84
    anth
    0.83
    urated
    0.82
    alled
    0.82
    Activations Density 0.005%

    No Known Activations