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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. 2-RES-JB
    6. 20263
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    Explanations

    the name "Henrik"

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the name "Henrik" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.76
    EED
    -0.68
     conclud
    -0.65
    ULT
    -0.65
    anwhile
    -0.65
    WAYS
    -0.64
    astered
    -0.62
    Sax
    -0.61
    FACE
    -0.60
    eele
    -0.60
    POSITIVE LOGITS
    rique
    1.19
    ning
    0.97
    lein
    0.97
    etr
    0.91
    leys
    0.91
    ley
    0.91
     Hen
    0.89
    rir
    0.88
    agar
    0.88
    ners
    0.88
    Activations Density 0.009%

    No Known Activations