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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. 14011
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    Explanations

    phrases related to identifying individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" in various contexts, indicating a focus on individuals or groups being described

    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
    iken
    -0.79
    Reddit
    -0.70
    igger
    -0.69
    ||||
    -0.66
    ARK
    -0.66
    ocene
    -0.63
    tu
    -0.63
    raught
    -0.63
    Hmm
    -0.63
    ibble
    -0.62
    POSITIVE LOGITS
     consequently
    1.26
     consequ
    0.98
     therefore
    0.97
     furthermore
    0.93
     secondly
    0.87
     subsequently
    0.86
     thereby
    0.85
     moreover
    0.85
     thereafter
    0.84
     importantly
    0.81
    Activations Density 0.313%

    No Known Activations