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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. 9-RES-JB
    11. 7584
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    Explanations

    words related to politicians and legislative bodies

    oai_token-act-pair · gpt-3.5-turbo

    references to the Knesset and related entities

    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
    ributes
    -0.69
    vier
    -0.68
    ttes
    -0.68
     Boll
    -0.67
    oute
    -0.65
    rique
    -0.65
    ous
    -0.63
     Nose
    -0.62
    isks
    -0.62
    iere
    -0.61
    POSITIVE LOGITS
    ignt
    0.85
    NetMessage
    0.82
     ILCS
    0.75
    eneg
    0.65
    FORM
    0.65
    ikarp
    0.64
    ãĤ±
    0.63
    atan
    0.63
    gap
    0.63
     therap
    0.63
    Activations Density 0.098%

    No Known Activations