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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. 824
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    Explanations

    the non-standard character 'ĺ'

    oai_token-act-pair · gpt-4-turbo

    words related to locations or possibly names

    oai_token-act-pair · gpt-3.5-turbo

    the character 'ĺ' in various contexts

    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
    raints
    -0.87
    undai
    -0.82
    igators
    -0.79
     incorpor
    -0.78
     stake
    -0.78
    intosh
    -0.76
    eatures
    -0.76
    orial
    -0.76
     pestic
    -0.75
     myster
    -0.75
    POSITIVE LOGITS
    ĺ
    1.10
    fter
    0.94
    ï¸ı
    0.93
    ãĥĥãĥī
    0.92
    âĹ¼
    0.91
    Ł
    0.91
    Ĺ
    0.87
    ãĥ¼
    0.83
    hair
    0.82
    Ķ
    0.82
    Activations Density 0.028%

    No Known Activations