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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. 3-RES-JB
    11. 300
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    Explanations

    phrases containing the name "Loretta" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    repeated mention of the same proper names in a context, particularly focusing on the name "Loretta."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.82
    é¾
    -0.77
    ahime
    -0.74
    egg
    -0.71
    sed
    -0.68
    resources
    -0.67
     CLIENT
    -0.64
    north
    -0.63
    zac
    -0.62
    amaz
    -0.62
    POSITIVE LOGITS
    tta
    0.94
    ignt
    0.88
    ño
    0.88
    veland
    0.84
    ldom
    0.84
    uti
    0.84
    zza
    0.75
    heed
    0.75
    ire
    0.75
    igger
    0.74
    Activations Density 0.010%

    No Known Activations