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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. 10060
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    Explanations

    mentions of the name "Ed" with varying emphasis

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Ed."

    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
    ¬¼
    -0.72
     shotguns
    -0.69
    falls
    -0.62
    Ĥİ
    -0.62
     storm
    -0.61
     sight
    -0.60
     repay
    -0.59
     Helsinki
    -0.59
    fall
    -0.58
     à¨
    -0.57
    POSITIVE LOGITS
    mund
    1.21
    gew
    1.20
    itions
    1.16
    monton
    1.14
    ifice
    1.14
    ison
    1.08
    monds
    1.08
    oard
    1.07
    dy
    1.07
    uce
    1.06
    Activations Density 0.020%

    No Known Activations