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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. 2-RES-JB
    11. 17892
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    Explanations

    words or phrases related to technology products or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to pharmaceuticals or drug-related entities

    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
    éĹĺ
    -1.16
    æĢ
    -0.85
    FTWARE
    -0.80
     fitting
    -0.74
    PUT
    -0.74
    swick
    -0.69
     shortened
    -0.68
     DEN
    -0.68
    ndra
    -0.67
    ãģĦ
    -0.67
    POSITIVE LOGITS
    osph
    1.34
    antom
    1.19
    ysics
    1.18
    oton
    1.10
    asma
    1.06
    rase
    1.06
    ozo
    1.00
    inx
    0.99
    ysis
    0.98
    obia
    0.98
    Activations Density 0.011%

    No Known Activations