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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. 11-RES-JB
    11. 1220
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    Explanations

    phrases related to meeting people or coming into contact with them

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "met" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mandatory
    -0.61
    ulo
    -0.60
     Focus
    -0.59
     commentary
    -0.59
     itself
    -0.57
     INTO
    -0.57
     compounded
    -0.57
    orney
    -0.56
     pursuit
    -0.55
     neutral
    -0.55
    POSITIVE LOGITS
     backstage
    0.98
    onym
    0.86
     online
    0.81
     firsthand
    0.79
     whom
    0.78
    enegger
    0.77
    near
    0.75
     abroad
    0.75
     personally
    0.74
    friend
    0.73
    Activations Density 0.217%

    No Known Activations