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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. 7-RES-JB
    11. 23617
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    INDEX
    Explanations

    academic titles and professions

    oai_token-act-pair · gpt-3.5-turbo

    references to professors and doctors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPA
    -0.75
     routed
    -0.73
     takeoff
    -0.73
     destro
    -0.69
     pony
    -0.68
    tumblr
    -0.68
     sled
    -0.68
     actionGroup
    -0.67
     tumble
    -0.67
    spir
    -0.66
    POSITIVE LOGITS
    essors
    1.08
     Joseph
    0.84
     Jonathan
    0.79
    agher
    0.79
     Peter
    0.78
     Gabriel
    0.78
     Jorge
    0.78
     Daniel
    0.78
     Timothy
    0.77
     emer
    0.77
    Activations Density 0.060%

    No Known Activations