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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. 9-RES-JB
    11. 17276
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    Explanations

    verbs followed by the preposition "at" and a high confidence level in the assessment

    oai_token-act-pair · gpt-3.5-turbo

    indicators of proficiency or skills in various areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.77
    soever
    -0.70
    Registered
    -0.69
    ships
    -0.68
    sym
    -0.67
    atorium
    -0.66
    Zone
    -0.65
    CI
    -0.64
    bilt
    -0.64
    selves
    -0.63
    POSITIVE LOGITS
     predicting
    1.27
     detecting
    1.23
     spotting
    1.16
     adapting
    1.14
     suppressing
    1.12
     extracting
    1.12
     estimating
    1.08
     manipulating
    1.06
     communicating
    1.05
     hiding
    1.05
    Activations Density 0.071%

    No Known Activations