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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 436
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    Explanations

    references to the brand "Nestlé."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Nestlé" and related nesting terminology

    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
    WAYS
    -0.76
    fare
    -0.74
    istically
    -0.72
    istic
    -0.65
    mith
    -0.63
    izations
    -0.63
    ++++++++++++++++
    -0.63
    primary
    -0.61
    --------------------------------
    -0.60
    Thumbnail
    -0.60
    POSITIVE LOGITS
    lé
    1.36
    ea
    1.29
    orius
    1.03
    lund
    0.90
    orian
    0.90
    eus
    0.88
    orians
    0.86
    led
    0.83
    orno
    0.83
    lik
    0.82
    Activations Density 0.087%

    No Known Activations