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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. 0-RES-JB
    11. 15250
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    INDEX
    Explanations

    phrases related to achieving or obtaining something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "get."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    marked
    -0.67
    marks
    -0.62
    nia
    -0.61
    grounds
    -0.61
    ays
    -0.60
     contrasts
    -0.60
    quished
    -0.59
    aim
    -0.59
    eworthy
    -0.58
    entric
    -0.58
    POSITIVE LOGITS
     get
    2.79
     Get
    1.83
    get
    1.72
    Get
    1.65
     gets
    1.62
     gotten
    1.61
     GET
    1.50
     receive
    1.49
     getting
    1.44
     find
    1.44
    Activations Density 0.081%

    No Known Activations