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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. 9-RES-JB
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    Explanations

    mentions of the football club "Real Madrid"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "Real Madrid."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.85
    rav
    -0.76
    lectic
    -0.63
    cake
    -0.63
    herent
    -0.63
    avorite
    -0.61
    hire
    -0.61
    edd
    -0.60
     clipboard
    -0.59
    URR
    -0.59
    POSITIVE LOGITS
    istically
    1.41
     Madrid
    1.36
    ignment
    1.27
    istic
    1.26
     Estate
    1.24
     estate
    1.17
    isation
    1.12
    ization
    1.11
    idad
    1.07
    izing
    1.07
    Activations Density 0.022%

    No Known Activations