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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. 10-RES-JB
    11. 23263
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    Explanations

    words related to the brand or name "ola" with varying degrees of specificity

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of specific names or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sed
    -0.94
    rants
    -0.91
    rified
    -0.88
    lot
    -0.88
    rals
    -0.86
    lers
    -0.83
    lich
    -0.82
    schild
    -0.80
    leness
    -0.80
    lest
    -0.80
    POSITIVE LOGITS
    ño
    1.04
    usk
    1.04
    BILITY
    0.99
    uthor
    0.98
    BILITIES
    0.97
    Äĩ
    0.91
     Haram
    0.89
    emon
    0.88
     Sturgeon
    0.87
    iffe
    0.86
    Activations Density 0.125%

    No Known Activations