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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. 3-RES-JB
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    Explanations

    the word "get" at various activation levels

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "get" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defe
    -0.70
    SPONSORED
    -0.69
    velt
    -0.64
     deduct
    -0.64
    perty
    -0.64
     conduc
    -0.63
     serve
    -0.62
     withd
    -0.61
     livest
    -0.61
     Lich
    -0.61
    POSITIVE LOGITS
    TING
    1.16
    tin
    1.12
    ters
    1.05
    gets
    0.94
    rics
    0.85
    away
    0.85
    ter
    0.82
    hers
    0.81
    arius
    0.81
    gotten
    0.79
    Activations Density 0.015%

    No Known Activations