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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. 21266
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    boys
    -0.63
    accompan
    -0.61
     bearer
    -0.60
    packing
    -0.59
    multipl
    -0.59
    theless
    -0.58
     overload
    -0.58
    DragonMagazine
    -0.55
     besides
    -0.55
    watching
    -0.54
    POSITIVE LOGITS
    ´
    1.41
    ¤
    1.41
    ¶
    1.39
    ²
    1.36
    ¾
    1.34
    ¬
    1.30
    ¦
    1.29
    ĥ
    1.27
    ¼
    1.27
    «
    1.26
    Activations Density 0.074%

    No Known Activations