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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. 11390
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    Explanations

    terms related to initiating or beginning an action or process

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to initiating actions or processes

    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
    obi
    -0.70
    bernatorial
    -0.69
    asca
    -0.68
    phy
    -0.68
    ikawa
    -0.65
    ocene
    -0.65
    ilty
    -0.65
    itsch
    -0.63
    ullah
    -0.63
    assic
    -0.62
    POSITIVE LOGITS
     anew
    0.89
    starting
    0.85
    strap
    0.82
    rek
    0.75
    nings
    0.70
     behaving
    0.69
    TAIN
    0.69
    ctor
    0.69
     practicing
    0.67
    ners
    0.66
    Activations Density 0.060%

    No Known Activations