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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. 1-RES-JB
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    INDEX
    Explanations

    phrases with the word "called."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "called."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inth
    -0.86
    Cub
    -0.67
    ²¾
    -0.65
    acia
    -0.65
     unden
    -0.64
     istg
    -0.64
    Lago
    -0.64
    abba
    -0.64
    icator
    -0.64
    Jr
    -0.63
    POSITIVE LOGITS
    calling
    0.99
    call
    0.96
     called
    0.92
     calling
    0.89
     Calling
    0.83
    netflix
    0.77
    called
    0.76
     calls
    0.75
     Call
    0.75
     upon
    0.74
    Activations Density 0.052%

    No Known Activations