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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. 20146
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and surnames

    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
    depending
    -0.69
    ADRA
    -0.66
     overwhelming
    -0.64
     respectively
    -0.64
     overlap
    -0.62
     recourse
    -0.62
    addons
    -0.61
     counterparts
    -0.60
    patient
    -0.59
     increment
    -0.59
    POSITIVE LOGITS
     Interview
    1.01
     (@
    1.00
     Photography
    0.99
     Profile
    0.94
     writes
    0.94
     Jr
    0.93
     Quote
    0.92
     Posted
    0.89
     Contribut
    0.89
     ·
    0.88
    Activations Density 0.321%

    No Known Activations