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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
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    Explanations

    proper nouns, particularly individuals' names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    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
     concess
    -0.64
    ologies
    -0.64
    abre
    -0.63
    isse
    -0.62
    iden
    -0.61
    mares
    -0.60
    ively
    -0.60
    inent
    -0.59
    pill
    -0.56
    oxide
    -0.56
    POSITIVE LOGITS
    vernment
    1.10
    iants
    0.95
    glers
    0.86
    roups
    0.85
    raphic
    0.80
    hetto
    0.80
    irlfriend
    0.79
    reens
    0.77
    ourmet
    0.76
    reetings
    0.76
    Activations Density 0.179%

    No Known Activations